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Drug Design

Papers

Showing 5175 of 440 papers

TitleStatusHype
Benchmarking Generated Poses: How Rational is Structure-based Drug Design with Generative Models?Code1
Accurate Pocket Identification for Binding-Site-Agnostic DockingCode1
Aligning Target-Aware Molecule Diffusion Models with Exact Energy OptimizationCode1
Binding-Adaptive Diffusion Models for Structure-Based Drug DesignCode1
A fully differentiable ligand pose optimization framework guided by deep learning and traditional scoring functionsCode1
BioChemInsight: An Open-Source Toolkit for Automated Identification and Recognition of Optical Chemical Structures and Activity Data in Scientific PublicationsCode1
3DMolFormer: A Dual-channel Framework for Structure-based Drug DiscoveryCode1
Exploiting Pretrained Biochemical Language Models for Targeted Drug DesignCode1
Learning programs with magic valuesCode1
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequencesCode1
Modeling PROTAC Degradation Activity with Machine LearningCode1
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker DesignCode1
Assigning Confidence to Molecular Property PredictionCode1
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising AutoencodersCode1
Improving black-box optimization in VAE latent space using decoder uncertaintyCode1
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein DockingCode1
Learning Subpocket Prototypes for Generalizable Structure-based Drug DesignCode1
Artificial Intelligence in Drug Discovery: Applications and TechniquesCode1
DiffBindFR: An SE(3) Equivariant Network for Flexible Protein-Ligand DockingCode1
Highly accurate and efficient deep learning paradigm for full-atom protein loop modeling with KarmaLoopCode1
DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular DockingCode1
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial SpacesCode1
De novo Drug Design using Reinforcement Learning with Multiple GPT AgentsCode1
Self-Supervised Graph Transformer on Large-Scale Molecular DataCode1
HiGNN: Hierarchical Informative Graph Neural Networks for Molecular Property Prediction Equipped with Feature-Wise AttentionCode1
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