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Drug Design

Papers

Showing 326350 of 440 papers

TitleStatusHype
Deep Denerative Models for Drug Design and Response0
Hybrid quantum-classical machine learning for generative chemistry and drug design0
APObind: A Dataset of Ligand Unbound Protein Conformations for Machine Learning Applications in De Novo Drug Design0
DeepPocket: Ligand Binding Site Detection and Segmentation using 3D Convolutional Neural NetworksCode1
New Candidates for Furin Inhibition as Probable Treat for COVID-19: Docking Output0
Improving black-box optimization in VAE latent space using decoder uncertaintyCode1
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical StudyCode1
Machine Learning Implicit Solvation for Molecular Dynamics0
Robust Graph Meta-learning for Weakly-supervised Few-shot Node Classification0
Artificial Intelligence in Drug Discovery: Applications and TechniquesCode1
Realistic molecule optimization on a learned graph manifold0
Retro Drug Design: From Target Properties to Molecular Structures0
tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modeling Structure Refinement0
Evening the Score: Targeting SARS-CoV-2 Protease Inhibition in Graph Generative Models for Therapeutic CandidatesCode1
Combating small molecule aggregation with machine learning0
Using the structural kinome to systematize kinase drug discovery0
ResAtom System: Protein and Ligand Affinity Prediction Model Based on Deep LearningCode0
Learning to design drug-like molecules in three-dimensional space using deep generative models0
Using Molecular Embeddings in QSAR Modeling: Does it Make a Difference?Code0
Molecular Representation Learning by Leveraging Chemical Information0
Assigning Confidence to Molecular Property PredictionCode1
Artificial Intelligence based Autonomous Molecular Design for Medical Therapeutic: A Perspective0
ParaVS: A Simple, Fast, Efficient and Flexible Graph Neural Network Framework for Structure-Based Virtual Screening0
Peptipedia: a comprehensive database for peptide research supported by Assembled predictive models and Data Mining approachesCode0
Learning to Search for Fast Maximum Common Subgraph Detection0
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