| Persistent spectral based machine learning (PerSpect ML) for drug design | Feb 3, 2020 | BIG-bench Machine LearningDrug Design | —Unverified | 0 |
| Pharmacophore-Conditioned Diffusion Model for Ligand-Based De Novo Drug Design | May 15, 2025 | Drug DesignDrug Discovery | —Unverified | 0 |
| Pharmacophore-guided de novo drug design with diffusion bridge | Dec 10, 2024 | Drug DesignDrug Discovery | —Unverified | 0 |
| Pharmacoprint -- a combination of pharmacophore fingerprint and artificial intelligence as a tool for computer-aided drug design | Oct 4, 2021 | Dimensionality ReductionDrug Design | —Unverified | 0 |
| Phen-DC 3 Induces Refolding of Human Telomeric DNA into a Chair-Type Antiparallel G-Quadruplex through Ligand Intercalation | Jun 7, 2023 | Drug Design | —Unverified | 0 |
| PILOT: Equivariant diffusion for pocket conditioned de novo ligand generation with multi-objective guidance via importance sampling | May 23, 2024 | Drug DesignDrug Discovery | —Unverified | 0 |
| PlayMolecule Viewer: a toolkit for the visualization of molecules and other data | Dec 22, 2023 | Data VisualizationDrug Design | —Unverified | 0 |
| PointGAT: A quantum chemical property prediction model integrating graph attention and 3D geometry | Oct 8, 2023 | 3D geometryComputational chemistry | —Unverified | 0 |
| Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks | Feb 20, 2025 | BenchmarkingCombinatorial Optimization | —Unverified | 0 |
| Predicting drug-target interaction using 3D structure-embedded graph representations from graph neural networks | Apr 17, 2019 | Drug DesignGraph Attention | —Unverified | 0 |
| Prediction of protein allosteric signalling pathways and functional residues through paths of optimised propensity | Jul 14, 2022 | Drug Design | —Unverified | 0 |
| PrefixMol: Target- and Chemistry-aware Molecule Design via Prefix Embedding | Feb 14, 2023 | Drug DesignMulti-Task Learning | —Unverified | 0 |
| Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation | Mar 8, 2025 | Drug DesignGraph Generation | —Unverified | 0 |
| Pre-training of Graph Neural Network for Modeling Effects of Mutations on Protein-Protein Binding Affinity | Aug 28, 2020 | Drug DesignGraph Neural Network | —Unverified | 0 |
| Probabilistic thermal stability prediction through sparsity promoting transformer representation | Nov 10, 2022 | Drug Design | —Unverified | 0 |
| Protein-protein docking using a tensor train black-box optimization method | Feb 7, 2023 | Drug Design | —Unverified | 0 |
| Pushing the boundaries of Structure-Based Drug Design through Collaboration with Large Language Models | Mar 3, 2025 | Drug DesignDrug Discovery | —Unverified | 0 |
| Quadratic unconstrained binary optimization and constraint programming approaches for lattice-based cyclic peptide docking | Dec 13, 2024 | Drug Design | —Unverified | 0 |
| Quantitative Prediction of Protein-Polyelectrolyte Binding Thermodynamics: Adsorption of Heparin-Analog Polysulfates to the SARS-CoV-2 Spike Protein RBD | Aug 30, 2024 | Drug DesignFriction | —Unverified | 0 |
| Quantum-Inspired Machine Learning for Molecular Docking | Jan 22, 2024 | Blind DockingCombinatorial Optimization | —Unverified | 0 |
| Quantum-inspired Reinforcement Learning for Synthesizable Drug Design | Sep 13, 2024 | Drug DesignDrug Discovery | —Unverified | 0 |
| Quantum-machine-assisted Drug Discovery: Survey and Perspective | Aug 24, 2024 | Drug DesignDrug Discovery | —Unverified | 0 |
| ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision | Jul 4, 2023 | Drug Design | —Unverified | 0 |
| Realistic molecule optimization on a learned graph manifold | Jun 3, 2021 | Drug DesignGraph Generation | —Unverified | 0 |
| Recognition of potential Covid-19 drug treatments through the study of existing protein-drug and protein-protein structures: an analysis of kinetically active residues | Apr 21, 2020 | Drug Design | —Unverified | 0 |