📚 月次論文レビュー総括レポート

対象期間: 2026-04-01 〜 2026-04-30生成日時: 2026-04-26
286
総論文数
286
スライドあり
30
サブページ数
3
カテゴリ数

📂 カテゴリ別サブページ

10件超のカテゴリは10件ごとに分割されています。各ページで実装/精読/後回しのトリアージが可能です。

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メディシナルケミストリー
34 本
スライドあり: 34 本 · 4 ページ
📄 ページ1: 1〜10件📄 ページ2: 11〜20件📄 ページ3: 21〜30件📄 ページ4: 31〜34件

📋 論文一覧(全 286 件)

#タイトルカテゴリ発表スライド
1Porphyromonas gingivalis in Alzheimer's disease brains: Evidence for disease causation and treatment…メディシナルケミストリー2019年1月
2kUPS: a molecular simulation engine for the AI era計算化学2026年4月
3Landscape-scale navigation unlocks antibody CDR structural logic for AI-guided rescue and therapeuti…機械学習・AI2026年4月
4Structure-guided molecular design with contrastive 3D protein-ligand learning機械学習・AI2026年4月
5Robust Inference-Time Steering of Protein Diffusion Models via Embedding Optimization機械学習・AI2026年2月
6Regression with Large Language Models for Materials and Molecular Property Prediction機械学習・AI2024年(arXiv プレプリント)
7Mol-Debate: Multi-Agent Debate Improves Structural Reasoning in Molecular Design機械学習・AI2026年4月22日(arXiv プレプリント)
8Multimodal Graph Fusion with Statistically Guided Parsimonious Descriptor Selection for Molecular Pr…機械学習・AI2026年(Journal of Cheminformatics, 18:18)
9Advancing Reproducibility and Open Data in Theoretical and Computational Chemistry計算化学2026年(J. Chem. Theory Comput. / J. Chem. Inf. Model. 連名エディトリアル)
10Ensemble Analyzer: An Open-Source Python Framework for Automated Conformer Ensemble Refinement計算化学2026年4月
11A Transformer for Reaction-Aware Compound Explorations with GFlowNet in QSAR-Guided Molecular Design機械学習・AI2026年4月(J. Chem. Inf. Model.、ASAP)
12Combined All-Atom Simulations and Biophysical Assays Uncover Loop-Driven Stabilization in the HRAS i…計算化学2026年3月(J. Chem. Inf. Model. 2026, 66, 3276–3287)
13Rise of AI Technologies in Virtual Screening機械学習・AI2026年4月(J. Chem. Inf. Model., Letter)
14Drug Discovery and Computational Chemistry: A State-of-the-Art Review計算化学2026年4月(ChemistrySelect、Accepted 2026-04-13)
15Revisiting Target-Aware de novo Molecular Generation with TarPass: Between Rational Design and Texas…計算化学2026年4月(Advanced Science、Received 2026-03-12 / Accepted 2026-04-13)
16Identification of KKL-35 as a novel carnosine dipeptidase 2 (CNDP2) inhibitor by in silico screening計算化学2025年9月(bioRxiv プレプリント)
17Supporting Medicinal Chemists in Iterative Hypothesis Generation for Drug Target Identification機械学習・AI2025年12月
18DynaRepo: the repository of macromolecular conformational dynamics計算化学2025年10月(Nucleic Acids Research、Database issue)
19MolAI: A Deep Learning Framework for Data-Driven Molecular Descriptor Generation and Advanced Drug D…機械学習・AI2025年9月(J. Chem. Inf. Model. 2025, 65, 9892–9909)
20SHARP: Generating Synthesizable Molecules via Fragment-Based Hierarchical Action-Space Reinforcement…機械学習・AI2025年10月(J. Chem. Inf. Model. 2025, 65, 11601–11619)
21VeGA: A Versatile Generative Architecture for Bioactive Molecules across Multiple Therapeutic Target…機械学習・AI2025年10月(J. Chem. Inf. Model. 2025, 65, 10918–10931)
22Combining GCN Structural Learning with LLM Chemical Knowledge for Enhanced Virtual Screening機械学習・AI2025年10月(J. Chem. Inf. Model. 2025, 65, 11510–11520)
23ChemFM as a scaling law guided foundation model pre-trained on informative chemicals機械学習・AI2025年11月(Communications Chemistry, Article in Press)
24LLMize: A Framework for Large Language Model-Based Numerical Optimization機械学習・AI2025年12月(arXiv プレプリント)
25HELM-BERT: A Transformer for Medium-Sized Peptide Property Prediction機械学習・AI2025年12月(arXiv プレプリント)
26aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists機械学習・AI2025年8月(arXiv プレプリント、v2: 2025年12月更新)
27AI-Driven Molecular Design: Synergizing Deep Generative Models with Evolutionary Optimization機械学習・AI2025年11月(IConTES 2025, Antalya/Türkiye)
28LAMMPS-ANI: Large Scale Molecular Dynamics Simulations with ANI Neural Network Potential機械学習・AI2025年(ChemRxiv プレプリント)
29BindFlow: a free, user-friendly pipeline for absolute binding free energy calculations using free en…計算化学2025年9月(bioRxiv preprint)
30Unified all-atom molecule generation with neural fields機械学習・AI2025年11月
31Uncertainty-Aware Multi-Objective Reinforcement Learning-Guided Diffusion Models for 3D De Novo Mole…機械学習・AI2025年10月
32Lost in Tokenization: Context as the Key to Unlocking Biomolecular Understanding in Scientific LLMs機械学習・AI2025年10月
33Physics–Preference Aligned Tool-Using Policies for Molecular Design with Gemma-3 270M機械学習・AI2025年(NeurIPS 2025 ML4PS Workshop)
34Joint Design of Protein Surface and Structure Using a Diffusion Bridge Model機械学習・AI2025年11月(NeurIPS 2025)
35Improving protein-ligand complex generation with force field guidance機械学習・AI2025年(NeurIPS 2025 Workshop SimBioChem)
36Trillion Ligands per Day: Performance-Portable Virtual Screening via Compound Database Optimization …計算化学2025年11月(SC '25, St Louis, MO, USA)
37Integrated In Silico Pipeline for Validating AI-Generated Ligands: From Docking Consensus to Molecul…計算化学2026年(IWBBIO 2025 proceedings, LNBI 16050)
38Protocol for an automated virtual screening pipeline including library generation and docking evalua…計算化学2025年12月
39PLNet: Persistent Laplacian Neural Network for Protein–Protein Binding Free Energy Prediction機械学習・AI2025年12月
40Modeling Protein–Small Molecule Conformational Ensembles with PLACER機械学習・AI2025年11月
41Resolving Data Bias Improves Generalization in Binding Affinity Prediction機械学習・AI2025年
42Navigating Structure-Based Drug Discovery with Emerging Innovations in Physics- and Knowledge-Based …計算化学2025年
43Sampling Challenges of MM/PBSA Binding Energy Calculations計算化学2025年10月
44MicroCycle: An Integrated and Automated Platform to Accelerate Drug Discoveryメディシナルケミストリー2024年1月25日(J. Med. Chem. 2024, 67, 2118–2128)
45Evaluating Ligand Docking Methods for Drugging Protein–Protein Interfaces: Insights from AlphaFold2 …計算化学2025年(J. Cheminformatics 17:144)
46Computation of Protein-Ligand Binding Free Energies with a Quantum Mechanics-Based Mining Minima Alg…計算化学2025年3月(Accepted: March 3, 2025)
47REINFORCE-ING Chemical Language Models for Drug Discovery機械学習・AI2025年11月(Accepted: November 7, 2025)
48SynKit: A Graph-Based Python Framework for Rule-Based Reaction Modeling and Analysis計算化学2025年11月(Accepted: November 19, 2025)
49Boosting Drug Discovery: Expanding the Applicability of Fragment Dissolved Molecular Dynamics to Acc…計算化学2025年(JCIM ASAP)
50RLMolLM: Reinforcement Learning-Enhanced Language Model Framework for Inverse Molecular Design機械学習・AI2025年11月
51SiteMatcher: A Web Server for Structure-Based Drug Design Using Protein-Ligand Interaction Patterns計算化学2025年11月
52Combining AlphaFold with Focused Virtual Library Design in the Development of Novel CCR2 and CCR5 An…メディシナルケミストリー2025年(JCIM ASAP)
53MAPCliff-WMGR: Exploring Activity Cliffs in Molecular Activity Prediction Enhanced by Weighted Molec…機械学習・AI2025年11月
54Ultra-large Library Screening with an Evolutionary Algorithm in Rosetta (REvoLd)計算化学2025年
55A Quantitative Model of Structure-Based Virtual Screening Performance計算化学2025年
56FEP Ω: The End of Parameter Tuning計算化学2025年
57Benchmarking Active Learning Virtual Screening across Vina, Glide, and SILCS-based Docking at a Tran…計算化学2025年
58Rethinking Ligand Efficiency: Normalization Pitfalls, Uncertainty, and State-Invariant Metricsメディシナルケミストリー2025年11月
59PEGASUS: Unlocking Polarity in Cell-Permeable Cyclic Peptides Using AI Models Built on Massively Par…機械学習・AINovember 2025
60EDWARD: E(3)-Equivariant Dual-Way Attentive Reduction for Peptide-to-Small-Molecule Design機械学習・AIDecember 2025
61A QM-AI Approach for the Acceleration of Accurate Assessments of Halogen-π Interactions by Training …計算化学December 2025
62Improved ADME Prediction by Multitask Pretraining on Predicted Data: Insights from the ASAP-Polaris-…機械学習・AI2025年(J. Chem. Inf. Model.、掲載確定)
63Descriptor-First Approach for ADMET Prediction in the PolarisHub Antiviral Challenge機械学習・AI2026年1月(J. Chem. Inf. Model. 2026, 66, 406–412)
64BioChemAIgent: An AI-driven Protein Modeling and Docking Framework for Structure-Based Drug Discover…機械学習・AI2025年12月
65A unified language model bridging de novo and fragment-based 3D molecule design delivers potent CBL-…機械学習・AI2025年11月
66BENTO: Benchmarking Classical and AI Docking on Drug Design-Relevant Data計算化学2025年12月
67The Influence of Ligands on AlphaFold3 Prediction of Cryptic Pockets機械学習・AI2026年1月
68FlashAffinity: Bridging the Accuracy-Speed Gap in Protein-Ligand Binding Affinity Prediction機械学習・AI2025年12月
69Explaining how mutations affect AlphaFold predictions機械学習・AI2026年1月
70SeedFold: Scaling Biomolecular Structure Prediction機械学習・AI2025年12月
71Apo2Mol: 3D Molecule Generation via Dynamic Pocket-Aware Diffusion Models機械学習・AI2025年11月
72SculptDrug: A Spatial Condition-Aware Bayesian Flow Model for Structure-based Drug Design機械学習・AI2025年11月
73ReACT-Drug: Reaction-Template Guided Reinforcement Learning for de novo Drug Design機械学習・AI2025年12月
74MolGuidance: Advanced Guidance Strategies for Conditional Molecular Generation with Flow Matching機械学習・AI2025年12月
75Peptide2Mol: A Diffusion Model for Generating Small Molecules as Peptide Mimics for Targeted Protein…機械学習・AI2025年11月
76Diffusion Models are Molecular Dynamics Simulators機械学習・AI2025年11月
77MolSculpt: Sculpting 3D Molecular Geometries from Chemical Syntax機械学習・AI2025年12月
78RxnBench: A Multimodal Benchmark for Evaluating Large Language Models on Chemical Reaction Understan…機械学習・AI2025年12月
79MDAgent2: Large Language Model for Code Generation and Knowledge Q&A in Molecular Dynamics機械学習・AI2026年1月
80MolAct: An Agentic RL Framework for Molecular Editing and Property Optimization機械学習・AI2025年12月
81HalluMat: Detecting Hallucinations in LLM-Generated Materials Science Content Through Multi-Stage Ve…機械学習・AI2025年12月
82FRAGMENTA: End-to-end Fragmentation-based Generative Model with Agentic Tuning for Drug Lead Optimiz…機械学習・AI2025年11月
83AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.Org機械学習・AI2025年12月
84SCP: Accelerating Discovery with a Global Web of Autonomous Scientific Agents機械学習・AI2025年12月
85Understanding Structural Representation in Foundation Models for Polymers機械学習・AI2025年12月
86Learning to Make Decisions for Autonomous Drug Design機械学習・AI2025年(Chalmers 工科大学 + ヨーテボリ大学 博士論文)
87Deep contrastive learning enables genome-wide virtual screening機械学習・AI2026年1月8日
88Computational and experimental investigation for new transition metal selenides and sulfides: The im…計算化学2016年7月
89Assessing the potential of deep learning for protein–ligand docking機械学習・AI2025年(受理: 2025年11月)
90Monovalent pseudo-natural products supercharge degradation of IDO1 by its native E3 KLHDC3メディシナルケミストリー2026年(受理: 2025年11月)
91Quantum-machine-assisted drug discovery機械学習・AI2026年(npj Drug Discovery, 2026, 3:1)
92Extrapolating Foundation Generative Models with Physics: A Case Study of Exploring Peptide Conformat…機械学習・AI2025年12月(J. Phys. Chem. Lett. 受理)
93Discovery of MT-7117 (Dersimelagon Phosphoric Acid): A Novel, Potent, Selective, and Nonpeptidic Ora…メディシナルケミストリー2024年12月(J. Med. Chem. 2024, 67, 21729–21748)
94Highlights of Medicinal Chemistry Optimization Strategies in Peptidomimetic Antimalarial Drug Discov…メディシナルケミストリー2025年12月(J. Med. Chem. 受理)
95A New Fragment-Based Pharmacophore Virtual Screening Workflow Identifies Potent Inhibitors of SARS-C…計算化学2025年(J. Comput. Chem. 2025; 46:e70201)
96ALCHEMD: Bridging Accessibility and Accuracy in Automated Relative Binding Free Energy Workflows計算化学2025年12月(J. Chem. Theory Comput. オンライン先行公開)
97Automated Machine Learning Pipeline: Large Language Models-Assisted Automated Data set Generation fo…機械学習・AI2025年12月(J. Chem. Theory Comput. オンライン先行公開)
98DiffDec: Structure-Aware Scaffold Decoration with an End-to-End Diffusion Model機械学習・AI2023年10月(bioRxiv preprint); J. Chem. Inf. Model. 2024掲載
99AlphaFold-RandomWalk and AlphaFold-Ensemble: Sampling Alternative Protein Conformations with Perturb…機械学習・AI2025年12月(オンライン先行公開)
100Meeko: Molecule Parametrization and Software Interoperability for Docking and Beyond計算化学2025年12月
101Improving the Reliability of Molecular String Representations for Generative Chemistry機械学習・AI2025年
102Contact Parallel Cascade Selection Molecular Dynamics (cPaCS-MD) for Accurate In Silico Prediction o…計算化学2026年1月(受理: 2025年12月16日)
103Novel GPU Engines for Virtual Screening of Giga-Sized Libraries Identify Inhibitors of Challenging T…計算化学2025年9月
104TorchANI 2.0: An Extensible, High-Performance Library for the Design, Training, and Use of NN-IPs機械学習・AI2025年10月
105ADvisor: An Open-Source Tool for Applicability Domain Definition and Optimization in Molecular Predi…機械学習・AI2025年10月
106Navigating Ultralarge Virtual Chemical Spaces with Product-of-Experts Chemical Language Models機械学習・AI2024年10月
107ProfhEX: Empowering Early Drug Discovery with Machine Learning-Based Target Profiling and Liability …機械学習・AI2025年(受理: 2025年10月15日)
108gSelformer-MV: Multiview, Subgraph-Augmented Group SELFIES Transformer for Molecular Property Predic…機械学習・AI2025年(受理: 2025年12月)
109Can AI-Predicted Complexes Teach Machine Learning to Compute Drug Binding Affinity?機械学習・AI2025年(受理: 2025年12月)
110Chemprop v2: An Efficient, Modular Machine Learning Package for Chemical Property Prediction機械学習・AI2025年(受理: 2025年12月)
111TEMPL: A Template-Based Protein–Ligand Pose Prediction Baseline計算化学2025年10月
112Toward Generalizable Data-Driven Pharmacokinetics with Interpretable Neural ODEs機械学習・AI2026-02 (J. Chem. Inf. Model. 2026, 66, 2640−2650)
113ROSHAMBO2: Accelerating Molecular Alignment for Large Chemical Libraries with GPU Optimization and A…計算化学2025-09 (J. Chem. Inf. Model. 65, 9842−9849)
114The growing role of open source software in molecular modeling計算化学2026(ChemRxiv preprint, CC BY 4.0)
115SynFrag: Synthetic Accessibility Predictor based on Fragment Assembly Generation in Drug Discovery機械学習・AI2025(ChemRxiv preprint, CC BY 4.0)
116Practically Significant Method Comparison Protocols for Machine Learning in Small Molecule Drug Disc…機械学習・AI2025年9月
117eRMSF: A Python Package for Ensemble-Based RMSF Analysis of Biomolecular Systems計算化学2025年11月
118From Obstacle to Design Advantage: Activity Cliff Aware Modeling for Small-Molecule Drug Discovery機械学習・AI2025年12月(Drug Discovery Today)
119Computational Approaches Enhance the Design of Molecular Glue Degraders for Undruggable Proteins計算化学2025年12月(Drug Discovery Today Vol.31 No.1 Jan 2026)
120Deep Learning and Molecular Dynamics Reveal Promising EZH2 Inhibitors for Epigenetic Cancer Targetin…計算化学2025年11月
121graphpancake: A Python package for representing organic molecules as molecular graphs utilizing elec…機械学習・AI2025(ChemRxiv preprint, MIT license)
122A Foundation Model for Accurate Atomistic Simulations in Drug Design機械学習・AI2025年(ChemRxiv preprint)
123A Systematic Review of Drug-Related Interactions Utilizing Deep Learning and LLMs for Prediction and…機械学習・AI2025年12月
124A Foundation Model for Accurate Atomistic Simulations in Drug Design機械学習・AI2025(ChemRxiv preprint)
125ChemTSv3: Generalizing Molecular Design via Flexible Search Space Control機械学習・AI2025(ChemRxiv preprint)
126Hybrid ChemBERTa and DFT Machine Learning Framework for Predicting Enantioselectivity in Organosilan…機械学習・AI2025(ChemRxiv preprint)
127Modular Assembly of Allosteric MEK Inhibitor Structural Elements Unravels Potency and Feedback-Modul…メディシナルケミストリーDecember 2015
128Decoding of Inconsistent Biological Data: A Critical Step toward Enhanced AI Predictivity in Drug Di…機械学習・AI2025 (online ahead of print)
129Discovery of Potent and Efficacious Influenza PB2 InhibitorsメディシナルケミストリーDecember 2025 (online), January 2026 (issue)
130Active Learning FEP Using 3D-QSAR for Prioritizing Bioisosteres in Medicinal Chemistry計算化学April 2025
131Application of Free Energy Perturbation (FEP) Methodology for Predicting the Binding Affinity of Mac…計算化学May 2025
132MSFold: Multi-State Protein Structure Prediction via Parallel Tempering in Discrete Token Space機械学習・AIMarch 2026
133Protenix-v1: A Fully Open-Source Structure Prediction Model Surpassing AlphaFold3機械学習・AIFebruary 2026
134Structural Consequences of Introducing Multiple Ionizable Residues in a Protein with a Highly Charge…計算化学March 2026
135G-screen: Scalable Receptor-Aware Virtual Screening through Flexible Ligand Alignment計算化学March 2026
136Integrating BioEmu Ensemble Sampling with Molecular Dynamics and Markov State Models for Protein Con…計算化学January 2026
137Beyond Bioisosteres: sp3-Rich Bicyclic Scaffolds for Improved ADME Properties in Lead Optimizationメディシナルケミストリー2026
138Beyond SMILES: Evaluating Agentic AI Systems for Chemistry機械学習・AIFebruary 2026
139DESRO: Scientific Reasoning from Outcomes via Large Language Models機械学習・AI2026
140SpaceGFN: Programmable Chemical Space Exploration via GFlowNet機械学習・AI2026
141Evaluating Boltz-2 for Protein-Ligand Binding Prediction: A Large-Scale Computational Study計算化学March 2026
142SciDesignBench: A Benchmark for Scientific Design Reasoning with Reinforcement Learning from Scienti…機械学習・AIMarch 2026
143Beyond Affinity: A Comprehensive Benchmark for Structure-Based Drug Design Methods機械学習・AIJanuary 2026
144TerraBind: Coarse-Grained Molecular Representations for Efficient Protein-Ligand Binding Affinity Pr…機械学習・AIFebruary 2026
145DrugR: Optimizing Molecular Drugs through LLM-Based Explicit Reasoning機械学習・AI2026年2月(プレプリント)
146Reinforcement Learning with LLM-Guided Action Spaces for Synthesizable Lead Optimization機械学習・AI2026年4月(プレプリント)
147Reference-Guided Policy Optimization for Molecular Optimization via LLM Reasoning機械学習・AI2026年(ICLR 2026 採択)
148MolEvolve: LLM-Guided Evolutionary Search for Interpretable Molecular Optimization機械学習・AI2026年3月(プレプリント)
149MolecularIQ: Characterizing Chemical Reasoning Capabilities Through Symbolic Verification on Molecul…機械学習・AI2026年1月(プレプリント)
150Ontology-to-Tools Compilation for Executable Semantic Constraint Enforcement in LLM Agents機械学習・AI2026年2月(Cambridge Centre for Computational Chemical Engineering プレプリント)
151Accurate Predictions of Novel Biomolecular Interactions with IsoDDE機械学習・AI2026年2月(Isomorphic Labs テクニカルレポート)
152Epsilon: An Autonomous Research Engine with Epistemic Integrity for Scientific Discovery機械学習・AI2026年2月(独立プレプリント)
153A Unified Language Model Bridging De Novo and Fragment-Based 3D Molecule Design機械学習・AI2026年2月(Research Square プレプリント)
154Breaking the Barriers of Molecular Dynamics With Deep-Learning: Opportunities, Pitfalls, and How to …機械学習・AI2026年(WIREs Computational Molecular Science)
155Fast Sampling of Protein Conformational Dynamics計算化学2026年(Science Advances)
156Physics Beats Diffusion: Agentic AI-Driven Virtual Screening Benchmark on a GPCR Target計算化学2026年3月(Research Square プレプリント)
157PROTAC Approaches against Drug-Resistant EGFR C797S/L858R/T790M Mutants: Biological Evaluation and S…メディシナルケミストリー2026年(RSC Medicinal Chemistry)
158DeepDegradome: A Structure-Aware Deep Learning Framework for PROTAC and Ligand Generation Against Pr…機械学習・AI2026年(PNAS)
159An LLM Chatbot to Facilitate Primary-to-Specialist Care Transitions: A Randomized Controlled Trial機械学習・AI2026年(Nature Medicine)
160Molecular Representation Matters: Comparative Evaluation of Fingerprints, RDKit Descriptors, and Has…機械学習・AI2026年(J. Phys. Chem. Lett.)
161In-Pocket 3D Graphs Enhance Ligand-Target Generative Small-Molecule Creation: A Dopamine D2 Receptor…機械学習・AI2026年(J. Phys. Chem. B)
162Large Library Docking for Polypharmacology: Simultaneous Discovery of Ligands for Multiple GPCR Targ…計算化学2026年(J. Med. Chem.)
163What Happens in Successful Optimizations? A Survey of 2018–2024 Literatureメディシナルケミストリー2026年(J. Med. Chem.)
164Tokenization for Molecular Foundation Models: A Comprehensive Evaluation機械学習・AI2026年(J. Chem. Inf. Model.)
165ArtiDock: Accurate Machine Learning Approach to Protein-Ligand Docking for High-Throughput Virtual S…計算化学2026年(Journal of Chemical Information and Modeling)
166A Relative Binding Free Energy Framework for Structurally Dissimilar Molecules (CBFE)計算化学2026年(Journal of Chemical Information and Modeling, 66, 1626-1636)
167QUICK and Robust ESP and RESP Charges for Computational Biochemistry計算化学2026年(Journal of Chemical Information and Modeling, 66, 3173-3187)
168CHARMM-GUI Hybrid ML/MM Builder for Hybrid Machine Learning and Molecular Mechanical Simulations計算化学2026年(Journal of Chemical Information and Modeling, 66, 2960-2966)
169CHARMM-GUI Ligand Docker for Molecular Docking with Various Docking Programs計算化学2026年(Journal of Chemical Information and Modeling)
170GlueFinder: A Data-Driven Framework for the Rational Discovery of Molecular Glues計算化学2026年(Journal of Chemical Information and Modeling)
171DIVINE: Deterministic Top-Down Clustering Framework for Molecular Dynamics Trajectories計算化学2026年(Journal of Chemical Information and Modeling)
172Improving Fidelity and Diversity in Chemical Language Transformers for Inverse Molecular Design機械学習・AI2026年(Journal of Chemical Information and Modeling, 66, 3059-3073)
173UCBbind: More Accurate Binding Affinity Prediction via Protein Homology and Ligand-Based Transfer Le…機械学習・AI2026年(Journal of Chemical Information and Modeling, 66, 2006-2016)
174BOLD-GPCRs: A Transformer-Powered App for Predicting Ligand Bioactivity across Class A GPCRs機械学習・AI2026年(Journal of Chemical Information and Modeling, 66, 855-866)
175MolOrgGPT: De Novo Generation via Large Language Models and Reinforcement Learning機械学習・AI2026年(Journal of Chemical Information and Modeling)
176Large Language Model Agent for Modular Task Execution in Drug Discovery機械学習・AI2026年(Journal of Chemical Information and Modeling)
177UniDock-Pro: Unified GPU-Accelerated Platform for High-Throughput Virtual Screening計算化学2026年(Journal of Chemical Information and Modeling, 66, 2735-2752)
178A Computational Community Blind Challenge on Pan-Coronavirus Drug Discovery Data計算化学2026年(Journal of Chemical Information and Modeling, 66, 3129-3149)
179Symmetry-Sensitive Analysis of Molecular Graph Neural Network Models機械学習・AI2026年(Journal of Chemical Information and Modeling, 66, 2610-2615)
180CoDrug: A Text-Driven Molecular Virtual Screening and Multiproperty Optimization Framework機械学習・AI2026年(Journal of Chemical Information and Modeling)
181Topology-Aware Generation and Activity-Based Filtering for Data-Scarce QAC Discovery機械学習・AI2026年(Journal of Chemical Information and Modeling)
182Assessing Boltz-2 Performance for the Binding Classification of Docking Hits機械学習・AI2026年(Journal of Chemical Information and Modeling, 66, 1511-1521)
183DualBind: Dual-Module Protein-Ligand Binding Affinity Prediction with Adaptive GNN and Structure-Awa…機械学習・AI2026年(Expert Systems With Applications, Vol. 309)
184Discovery of Covalent Ligands with AlphaFold3計算化学2026年(JACS)
185Advances in Computational Methods for PROTAC Drug Discovery機械学習・AIMarch 2026 (Drug Discovery Today, Vol. 31, No. 2)
186Reward Function Design for Reinforcement Learning-Based Molecular Generation: Additive vs. Multiplic…機械学習・AI2025年(ChemRxiv プレプリント、Galvin/Elix)
187Independent Benchmarking of Boltzmann-Based Structure Prediction (Boltz-2) on ChEMBL-Derived Protein…機械学習・AI2026年(Chem-Bio Informatics Journal, Vol. 26)
188Hit Identification in Ultra Large Virtual Screening: An Integrative Review and Future Challenges機械学習・AI2026年1月(Drug Discovery Today)
189Machine Learning, Docking, or Physics for Structure Prediction of Ligand-induced Ternary Complexes機械学習・AI2026年1月(Current Opinion in Structural Biology 97:103217)
190NextTopDocker: The Largest-to-Date Docking Power Benchmark Reveals That Deep Learning Performs Gener…計算化学2026年2月(ChemRxiv プレプリント)
191Generative Virtual Screening: From Search to Generate and Back機械学習・AI2026年2月(ChemRxiv プレプリント)
192ChemSpace Copilot: Agentic AI for Interactive Visualization and Exploration of Chemical Space機械学習・AI2026年3月(ChemRxiv プレプリント)
193Transparent Acceleration of Large Library Docking with ChemSTEP計算化学2026年3月(ChemRxiv プレプリント)
194FragBERTa: Exploring Fragment-based Molecular Representation Learning with SAFE機械学習・AI2026年2月(ChemRxiv プレプリント)
195A Comparative Study of SMILES, SELFIES, and ECFP4 Representations for Molecular Similarity Search機械学習・AI2026年2月(ChemRxiv プレプリント)
196PyMolGen: Database-Driven Molecular Generation of Drug-Like Compounds機械学習・AI2026年3月(ChemRxiv プレプリント)
197A Reinforcement Learning-guided Genetic Algorithm Integrating Medicinal Chemistry-inspired Molecular…機械学習・AI2026年2月(ChemRxiv プレプリント)
198Docking of Millions: Accelerating a Million-Scale Virtual Screening Using Deep Learning機械学習・AI2026年3月(Briefings in Bioinformatics 27, bbag128)
199BBB-Permeable PROTACs: Where Do We Stand?メディシナルケミストリー2026年(ACS Medicinal Chemistry Letters)
200Machine Learning for De Novo Molecular Generation: A Comprehensive Review機械学習・AI2026年(ACS Chemical Neuroscience 17, 666-680)
201From Prompt to Drug: Toward Pharmaceutical Superintelligence機械学習・AI2026年(ACS Central Science)
202PROTACs in Targeted Protein Degradation: Advances in Development and AI-Enhanced Drug Discovery機械学習・AI2026年3月(European Journal of Medicinal Chemistry Reports)
203AI-aided Drug Development for Protein Degraders: Design, Lead Identification, and Optimization機械学習・AI2025年(Annual Reports in Medicinal Chemistry 65)
204The Statistical Software Revolution in Pharmaceutical Development: Challenges and Opportunities in O…機械学習・AI2026年1月(Drug Discovery Today)
205New Approach Methodologies for Drug Discovery機械学習・AI2026年4月(Cell 189)
206Steering Semi-Flexible Molecular Diffusion Model for Structure-Based Drug Design with Reinforcement …機械学習・AI2026年4月(Science Advances 12, eady9955)
207Construction of a Multi-label Odor Prediction Model Based on Molecular Structures and Olfactory Rece…機械学習・AI2026年(Analytical Sciences)
208KIMMDY: A Biomolecular Reaction Emulator計算化学2026年(Nature Communications 17:3500)
209Structural Optimization of Drug Molecules with Incrementally Trained Language Models機械学習・AI2026年(Nature Communications 17:3456)
210Harnessing AI to Build Virtual Cells機械学習・AI2026年4月(bioRxiv)
211UBio-MolFM: A Universal Molecular Foundation Model for Bio-Systems機械学習・AI2026年4月(preprint)
212MolMem: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization機械学習・AI2026年4月(preprint)
213MarS-FM: Generative Modeling of Molecular Dynamics via Markov State Models機械学習・AI2026年(preprint)
214Tabular Foundation Models for In-Context Prediction of Molecular Properties機械学習・AI2026年4月(preprint)
215How Creative Are Large Language Models in Generating Molecules?機械学習・AI2026年4月(preprint)
216Target Identification and Assessment in the Era of AI機械学習・AI2026年(Nat. Rev. Drug Discov. 2026)
217Chemical Space Navigation of Nitidine Leads to the Discovery of a Novel PD-L1 Degradation Agent by T…メディシナルケミストリー2026年(J. Med. Chem. 2026, 69, 8237-8254)
218Scaffold-Hopping Strategy on a Series of Proteasome Inhibitors Led to a Preclinical Candidate for th…メディシナルケミストリー2021年(J. Med. Chem. 2021, 64, 5905-5930)
219Automated Molecular Design in BRADSHAW, Applied to the Optimization of ERAP1 Inhibitorsメディシナルケミストリー2026年(J. Med. Chem. 2026, 69, 8869-8896)
220Discovery of YYSW001: A Highly Selective, Orally Bioavailable JAK1 Inhibitor Achieving Efficacy unde…メディシナルケミストリー2026年(J. Med. Chem. 2026, 69, 7869-7903)
221How to Use Quantum Computers for Biomolecular Free Energies計算化学2026年(J. Chem. Theory Comput. 2026, in press)
222Multiscale Hypergraph Masked Autoencoder with Δ-Property Alignment for Novel Molecular Representatio…機械学習・AI2026年(J. Chem. Inf. Model. 2026, 66, 3858-3877)
223ProtCross: Bridging the PDB-AlphaFold Gap for Binding Site Prediction with Protein Point Clouds機械学習・AI2026年(J. Chem. Inf. Model. 2026, 66, 3688-3701)
224DeepMIF: A Multiview Interactive Fusion-Based Deep Learning Method for RNA-Small Molecule Binding Af…機械学習・AI2026年(J. Chem. Inf. Model. 2026, 66, 3575-3589)
225Chat-Driven Computational (Bio)chemistry: Using LLM Agents to Accelerate Bio- and Chemoinformatics機械学習・AI2026年(J. Chem. Inf. Model. 2026, 66, 3397-3401)
226StereoMolGraph: Stereochemistry-Aware Molecular and Reaction Graphs計算化学2026年(J. Chem. Inf. Model. 2026, 66, 3830-3839)
227LigandExplorer: An Automated Tool for Ligand Extraction from PDB Structures計算化学2026年(J. Chem. Inf. Model. 2026, 66, 3026-3035)
228Unveiling the Activation Mechanism of Glucagon-Like Peptide-1 Receptor by an Ago-Allosteric Modulato…計算化学2026年(J. Chem. Inf. Model.)
229Efficient Binding Affinity Estimation for Fragment-Based Compounds Using a Separated Topologies Appr…計算化学2026年(J. Chem. Inf. Model.)
230Automated Force Field Developer and Optimizer Platform: Torsion Reparameterization計算化学2026年(J. Chem. Inf. Model. 2026, 66, 3206-3219)
231AI-MedCraft: A Strategy-Driven AI Platform for Multi-Objective Molecular Design機械学習・AI2026年(J. Chem. Inf. Model. 2026, 66, 3424-3431)
232Doing More with Less: Accurate and Scalable Ligand Free Energy Calculations by Focusing on the Bindi…計算化学2026年(J. Chem. Inf. Model.)
233Improving Stereochemical Limitations in Protein-Ligand Complex Structure Prediction計算化学2025年(ACS Omega 2025, 10, 56075-56084)
234Evaluating the Progression of Large Language Model Capabilities for Small-Molecule Drug Design機械学習・AI2026年4月(preprint)
235Polyformer: a generative framework for thermodynamic modeling of polymeric molecules機械学習・AI2026年4月(preprint)
236The HTC-Claw: Automating Discovery through High-Throughput Computational Campaigns機械学習・AI2025年4月(preprint)
237UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules機械学習・AI2025年(ICML 2025)
238LinkLlama: Enabling Large Language Model for Chemically Reasonable Linker Design機械学習・AI2026年4月(bioRxiv preprint)
239AlphaFast: High-throughput AlphaFold 3 via GPU-accelerated MSA construction計算化学2026年2月(bioRxiv preprint)
240How to write an impactful review article?メディシナルケミストリー2026年5月(Drug Discovery Today Vol.31 No.3)
241Large language models for molecular design: bridging the gap between chemical syntax and biological …機械学習・AI2026年3月(Drug Discovery Today Vol.31 No.2)
242Toward generalizable predictive models for DNA-encoded libraries機械学習・AI2026年3月(Drug Discovery Today Vol.31 No.2)
243Closing the loop: Experimentally validated methods in artificial intelligence–driven protein design機械学習・AI2026年(Current Opinion in Structural Biology Vol.98)
244A Scaffold-Hopping Strategy on a Series of Proteasome Inhibitors Which Led to a Preclinical Candidat…メディシナルケミストリー2021年頃(J. Med. Chem. 掲載、著者 Thomas/Gilbert ら)
245Quantification of Hydrogen Bond Donating Ability of Biologically Relevant CompoundsメディシナルケミストリーApril 2024
246The Role of Allylic Strain for Conformational Control in Medicinal Chemistryメディシナルケミストリー2023
247Discovery and Characterization of the Potent and Selective P2X4 Inhibitor BAY-1797メディシナルケミストリーDecember 2019
248Eyes on Topical Ocular Disposition: Design of a Lead JAK Inhibitor with Azetidin-3-Amino Bridging Sc…メディシナルケミストリーJune 2023
2492025 In Review: Trends in Pharmaceutical InnovationメディシナルケミストリーMarch 2026
250Design, Quality and Validation of the EU-OPENSCREEN Fragment Library Poised to a High-Throughput Scr…メディシナルケミストリーApril 2024
251Discovery of Novel and Potent Prolyl Hydroxylase Domain-Containing Protein (PHD) Inhibitors for the …メディシナルケミストリーJanuary 2024
252Discovery of Tetrahydropyrazolopyrazine Derivatives as Potent and Selective MYT1 Inhibitors for the …メディシナルケミストリーJanuary 2024
253Escaping from Flatland: Multiparameter Optimization Leads to the Discovery of Novel Tetrahydropyrido…メディシナルケミストリーMay 2023
254Geminal Diheteroatomic Motifs: Some Applications of Acetals, Ketals, and Their Sulfur and Nitrogen H…メディシナルケミストリー2021
255Synthetic Opportunities and Challenges for Macrocyclic Kinase InhibitorsメディシナルケミストリーMay 2021
256Validation of a New Methodology to Create Oral Drugs beyond the Rule of 5 for Intracellular Tough Ta…メディシナルケミストリーNovember 2023
257Structure-Based Design and Evaluation of Reversible KRAS G13D InhibitorsメディシナルケミストリーDecember 2023
258Rapid Traversal of Ultralarge Chemical Space using Machine Learning Guided Docking Screens計算化学2023年(プレプリント)/ J. Chem. Inf. Model. 2024
259FragGrow: A Web Server for Structure-Based Drug Design by Fragment Growing within Constraints計算化学2024年
260AlphaFold2-RAVE: From Sequence to Boltzmann Ranking計算化学2023年
261Conservation of Hot Spots and Ligand Binding Sites in Protein Models by AlphaFold2計算化学2024年
262Comparative Assessment of Free Energy Computational Methods for Revealing the Interactions Driving P…計算化学2026年4月(受付 2026年1月)
263MAIP: An Open-Source Tool to Enrich High-Throughput Screening Output and Identify Novel, Druglike Mo…機械学習・AI2023年
264Accelerated Chemical Reaction Optimization Using Multi-Task Learning機械学習・AI2023年
265Systematic Evaluation of Local and Global Machine Learning Models for the Prediction of ADME Propert…機械学習・AI2023年
266Molecular Deep Learning at the Edge of Chemical Space機械学習・AI2026年3月(オンライン先行公開)
267A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics計算化学2025年12月(Nature Communications in Press)
268NNP/MM: Fast Molecular Dynamics Simulations with Machine Learning Potentials and Molecular Mechanics計算化学2022年1月(arXiv: 2201.08110),2023年(J. Chem. Inf. Model. 掲載)
269Scalable Spatio-Temporal SE(3) Diffusion for Long-Horizon Protein Dynamics計算化学2026年2月
270Artificial Intelligence for Direct Prediction of Molecular Dynamics Across Chemical Space計算化学2025年5月(arXiv),2025年〜2026年(JCTC 掲載)
271Ultra-Large Virtual Screening Identifies PARP-1 and FSP1 Inhibitors via Adaptive Targeting計算化学2023年4月(bioRxiv)
272ATMOS: Autoregressive Trajectory Model for Open-ended Simulation機械学習・AI2026年3月(arXiv)
273Exploring the Capabilities of Machine-Learned Potentials for Biomolecular Simulations計算化学2022年1月(arXiv)
274Accelerating Protein Molecular Dynamics Simulation with DeepJump計算化学2025年9月16日(arXiv)
275Artificial Intelligence for Direct Prediction of Molecular Dynamics Across Chemical Space計算化学2026年(arXiv)
276BioMD: All-atom Generative Model for Biomolecular Dynamics Simulation機械学習・AI2025年9月2日(arXiv)
277Scalable Spatio-Temporal SE(3) Diffusion for Long-Horizon Protein Dynamics機械学習・AI2026年2月11日(arXiv)
278Guidelines for the analysis of free energy calculations計算化学2015年5月(J. Comput. Aided Mol. Des. 29(5): 397–411)
279BIOPTIC B1 Ultra-High-Throughput Virtual Screening System Discovers LRRK2 Ligands in Vast Chemical S…機械学習・AI2025年(J. Chem. Inf. Model., accepted 2025)
280A bottom-up approach to find lead compounds in expansive chemical spaces計算化学2025年(Communications Chemistry)
281Synthon-Based Strategies Exploiting Molecular Similarity and Protein-Ligand Interactions for Efficie…計算化学2025年(J. Chem. Inf. Model., accepted April 2025)
282ANI Neural Networks Meet Electrostatics: A ML/MM Implementation in Amber計算化学2024年
283Hit Identification Driven by Combining Artificial Intelligence and Computational Chemistry Methods: …メディシナルケミストリー2023年8月
284When Macrocyclic Peptides Meet the Crystal Structure of a Melanocortin Receptorメディシナルケミストリー2021年(受理 2020年12月)
285Autonomous Diffractometry Enabled by Visual Reinforcement Learning計算化学2026年4月
286Consensus docking aid to model the activity of an inhibitor of DNA methyltransferase 1 inspired by d…計算化学2023年12月