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Drug Design

Papers

Showing 351400 of 440 papers

TitleStatusHype
Persistent spectral based machine learning (PerSpect ML) for drug design0
Pharmacophore-Conditioned Diffusion Model for Ligand-Based De Novo Drug Design0
Pharmacophore-guided de novo drug design with diffusion bridge0
Pharmacoprint -- a combination of pharmacophore fingerprint and artificial intelligence as a tool for computer-aided drug design0
Phen-DC 3 Induces Refolding of Human Telomeric DNA into a Chair-Type Antiparallel G-Quadruplex through Ligand Intercalation0
PILOT: Equivariant diffusion for pocket conditioned de novo ligand generation with multi-objective guidance via importance sampling0
PlayMolecule Viewer: a toolkit for the visualization of molecules and other data0
PointGAT: A quantum chemical property prediction model integrating graph attention and 3D geometry0
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks0
Predicting drug-target interaction using 3D structure-embedded graph representations from graph neural networks0
Prediction of protein allosteric signalling pathways and functional residues through paths of optimised propensity0
PrefixMol: Target- and Chemistry-aware Molecule Design via Prefix Embedding0
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation0
Pre-training of Graph Neural Network for Modeling Effects of Mutations on Protein-Protein Binding Affinity0
Probabilistic thermal stability prediction through sparsity promoting transformer representation0
Protein-protein docking using a tensor train black-box optimization method0
Pushing the boundaries of Structure-Based Drug Design through Collaboration with Large Language Models0
Quadratic unconstrained binary optimization and constraint programming approaches for lattice-based cyclic peptide docking0
Quantitative Prediction of Protein-Polyelectrolyte Binding Thermodynamics: Adsorption of Heparin-Analog Polysulfates to the SARS-CoV-2 Spike Protein RBD0
Quantum-Inspired Machine Learning for Molecular Docking0
Quantum-inspired Reinforcement Learning for Synthesizable Drug Design0
Quantum-machine-assisted Drug Discovery: Survey and Perspective0
ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision0
Realistic molecule optimization on a learned graph manifold0
Recognition of potential Covid-19 drug treatments through the study of existing protein-drug and protein-protein structures: an analysis of kinetically active residues0
Rectified Flow For Structure Based Drug Design0
Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge0
Reimagining Target-Aware Molecular Generation through Retrieval-Enhanced Aligned Diffusion0
REINFORCE-ING Chemical Language Models in Drug Design0
Multi-Objective De Novo Drug Design with Conditional Graph Generative ModelCode0
Mol-MoE: Training Preference-Guided Routers for Molecule GenerationCode0
Utilizing Reinforcement Learning for de novo Drug DesignCode0
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to MoleculesCode0
DeeperBind: Enhancing Prediction of Sequence Specificities of DNA Binding ProteinsCode0
NovoMol: Recurrent Neural Network for Orally Bioavailable Drug Design and Validation on PDGFRα ReceptorCode0
Molecular Graph Contrastive Learning with Line GraphCode0
Vector Optimization with Gaussian Process BanditsCode0
Ollivier persistent Ricci curvature (OPRC) based molecular representation for drug designCode0
From Theory to Therapy: Reframing SBDD Model Evaluation via Practical MetricsCode0
ResAtom System: Protein and Ligand Affinity Prediction Model Based on Deep LearningCode0
DeepAtom: A Framework for Protein-Ligand Binding Affinity PredictionCode0
Rethinking Molecular Design: Integrating Latent Variable and Auto-Regressive Models for Goal Directed GenerationCode0
Towards Cross-Modal Text-Molecule Retrieval with Better Modality AlignmentCode0
SVSBI: Sequence-based virtual screening of biomolecular interactionsCode0
Pathway-Guided Optimization of Deep Generative Molecular Design Models for Cancer TherapyCode0
A Comparative Analysis of the Ensemble Methods for Drug DesignCode0
M2oE: Multimodal Collaborative Expert Peptide ModelCode0
Peptipedia: a comprehensive database for peptide research supported by Assembled predictive models and Data Mining approachesCode0
Curiosity as a Self-Supervised Method to Improve Exploration in De novo Drug DesignCode0
Towards Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-based Convolutional EncodersCode0
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