SOTAVerified

Drug Discovery

Drug discovery is the task of applying machine learning to discover new candidate drugs.

( Image credit: A Turing Test for Molecular Generators )

Papers

Showing 1–50 of 1337 papers

TitleStatusHype
TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug DiscoveryCode3
FlowDock: Geometric Flow Matching for Generative Protein-Ligand Docking and Affinity PredictionCode3
Uni-QSAR: an Auto-ML Tool for Molecular Property PredictionCode3
Robust deep learning based protein sequence design using ProteinMPNNCode3
ACEGEN: Reinforcement learning of generative chemical agents for drug discoveryCode3
Test-Time Training Scaling Laws for Chemical Exploration in Drug DesignCode3
REvoLd: Ultra-Large Library Screening with an Evolutionary Algorithm in RosettaCode3
Deep Learning for Protein-Ligand Docking: Are We There Yet?Code3
Atomic Convolutional Networks for Predicting Protein-Ligand Binding AffinityCode3
A Python library for efficient computation of molecular fingerprintsCode3
^2DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network PotentialsCode3
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule GenerationCode2
PPFlow: Target-aware Peptide Design with Torsional Flow MatchingCode2
PocketVina Enables Scalable and Highly Accurate Physically Valid Docking through Multi-Pocket ConditioningCode2
Multi-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, GeometryCode2
ChemCrow: Augmenting large-language models with chemistry toolsCode2
Large AI Models in Health Informatics: Applications, Challenges, and the FutureCode2
LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning DatasetCode2
Generative Flows on Synthetic Pathway for Drug DesignCode2
Learning Causally Invariant Representations for Out-of-Distribution Generalization on GraphsCode2
FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose GenerationCode2
Accelerating Material Design with the Generative Toolkit for Scientific DiscoveryCode2
JAX, M.D.: A Framework for Differentiable PhysicsCode2
ET-Flow: Equivariant Flow-Matching for Molecular Conformer GenerationCode2
Masked Autoencoders for Microscopy are Scalable Learners of Cellular BiologyCode2
Multi-modal Molecule Structure-text Model for Text-based Retrieval and EditingCode2
ChemAgent: Self-updating Library in Large Language Models Improves Chemical ReasoningCode2
NeuralPLexer3: Accurate Biomolecular Complex Structure Prediction with Flow ModelsCode2
PLAPT: Protein-Ligand Binding Affinity Prediction Using Pretrained TransformersCode2
A Survey of Pretraining on Graphs: Taxonomy, Methods, and ApplicationsCode2
Full-Atom Peptide Design based on Multi-modal Flow MatchingCode2
Graph Diffusion Transformers for Multi-Conditional Molecular GenerationCode2
DistMLIP: A Distributed Inference Platform for Machine Learning Interatomic PotentialsCode2
DeepPurpose: a Deep Learning Library for Drug-Target Interaction PredictionCode2
DiffBP: Generative Diffusion of 3D Molecules for Target Protein BindingCode2
EquiBind: Geometric Deep Learning for Drug Binding Structure PredictionCode2
DiffDock-PP: Rigid Protein-Protein Docking with Diffusion ModelsCode2
Diffusion Models for Molecules: A Survey of Methods and TasksCode2
Equivariant Energy-Guided SDE for Inverse Molecular DesignCode2
Machine-learned molecular mechanics force field for the simulation of protein-ligand systems and beyondCode2
Data-Driven Parametrization of Molecular Mechanics Force Fields for Expansive Chemical Space CoverageCode2
Fast and Accurate Blind Flexible DockingCode2
Generating 3D Molecules for Target Protein BindingCode2
Generative Artificial Intelligence for Navigating Synthesizable Chemical SpaceCode2
GeoDiff: a Geometric Diffusion Model for Molecular Conformation GenerationCode2
GFT: Graph Foundation Model with Transferable Tree VocabularyCode2
Concept Bottleneck Language Models For protein designCode2
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug DesignCode2
BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task TuningCode2
Multi-Objective Molecule Generation using Interpretable SubstructuresCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Molecular Graph ConvolutionsError ratio2.59—Unverified
2Gated Graph Sequence NNError ratio1.36—Unverified
3MPNNsError ratio0.68—Unverified
4DeepMoleNetError ratio0.53—Unverified
5DimeNetError ratio0.44—Unverified
6PaiNNError ratio0.41—Unverified
7DimeNet++Error ratio0.41—Unverified
8ComENetError ratio0.4—Unverified
9SphereNetError ratio0.39—Unverified
10MXMNetError ratio0.38—Unverified
#ModelMetricClaimedVerifiedStatus
1elEmBERT-V1AUC0.96—Unverified
2TrimNet + Perforated BackpropagationAUC0.89—Unverified
3SSVAE with multiple SMILESAUC0.87—Unverified
4Ensemble predictorAUC0.86—Unverified
5TrimNetAUC0.86—Unverified
6GraphConv + dummy super nodeAUC0.85—Unverified
7GraphConvAUC0.85—Unverified
8SNN (SELU Network)AUC0.85—Unverified
9ContextPredAUC0.78—Unverified
10GIT-Mol(G+S)AUC0.76—Unverified
#ModelMetricClaimedVerifiedStatus
1TrimNetAUC0.88—Unverified
2Ensemble locally constant networkAUC0.87—Unverified
3ProtoW-L2AUC0.87—Unverified
4elEmBERT-V1AUC0.86—Unverified
5ContextPredAUC0.85—Unverified
6GIT-Mol(G+S)AUC0.81—Unverified
#ModelMetricClaimedVerifiedStatus
1GraphConv + dummy super node + focal lossAUC0.85—Unverified
2GraphConvAUC0.82—Unverified
3TrimNetAUC0.8—Unverified
4ContextPredAUC0.8—Unverified
5RNN-DFSAUC0.63—Unverified
#ModelMetricClaimedVerifiedStatus
1TrimNetAUC0.85—Unverified
2GraphConv + dummy super nodeAUC0.85—Unverified
3GraphConvAUC0.84—Unverified
4ContextPredAUC0.81—Unverified
5RNN-DFSAUC0.65—Unverified
#ModelMetricClaimedVerifiedStatus
1TrimNetAUC0.78—Unverified
2GraphConv + dummy super nodeAUC0.77—Unverified
3GraphConvAUC0.75—Unverified
4GIT-Mol(G+S)AUC0.67—Unverified
5ContextPredAUC0.66—Unverified
#ModelMetricClaimedVerifiedStatus
1ProtoW-L2AUC0.92—Unverified
2elEmBERT-V1AUC0.91—Unverified
3GIT-Mol(G+S)AUC0.74—Unverified
4ContextPredAUC0.69—Unverified
#ModelMetricClaimedVerifiedStatus
1AttentionSiteDTIAUC0.97—Unverified
2GLAMAUC0.95—Unverified
3TransformerCPIAUC0.94—Unverified
4DGraphDTAAUC0.92—Unverified
#ModelMetricClaimedVerifiedStatus
1BiLSTMAUC0.97—Unverified
2TrimNetAUC0.95—Unverified
3GIT-Mol(G+S)AUC0.88—Unverified
4ContextPredAUC0.73—Unverified
#ModelMetricClaimedVerifiedStatus
1SMT-DTACI0.89—Unverified
2DeepPurposeCI0.88—Unverified
3DeepDTACI0.87—Unverified
4GraphDTACI0.86—Unverified
#ModelMetricClaimedVerifiedStatus
1SMT-DTACI0.89—Unverified
2DeepPurposeCI0.87—Unverified
3DeepDTACI0.86—Unverified
4GraphDTACI0.86—Unverified
#ModelMetricClaimedVerifiedStatus
1EGT+TGT-At-DPAUC0.81—Unverified
2GLAMAUC0.76—Unverified
3TransformerCPIAUC0.69—Unverified
4DGraphDTAAUC0.68—Unverified
#ModelMetricClaimedVerifiedStatus
1EGT+TGT-At-DPAUC0.75—Unverified
2GLAMAUC0.71—Unverified
3TransformerCPIAUC0.65—Unverified
4DGraphDTAAUC0.63—Unverified
#ModelMetricClaimedVerifiedStatus
1EGT+TGT-At-DPAUC0.74—Unverified
2GLAMAUC0.73—Unverified
3TransformerCPIAUC0.68—Unverified
4DGraphDTAAUC0.67—Unverified
#ModelMetricClaimedVerifiedStatus
1elEmBERT-V1AUC0.78—Unverified
2Ensemble locally constant networksAUC0.69—Unverified
3GIT-Mol(G+S)AUC0.63—Unverified
4ContextPredAUC0.63—Unverified
#ModelMetricClaimedVerifiedStatus
1GLAMAUC0.67—Unverified
2TransformerCPIAUC0.62—Unverified
3DGraphDTAAUC0.61—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepDTAPearson Correlation0.85—Unverified
2DeepAffinityPearson Correlation0.84—Unverified
#ModelMetricClaimedVerifiedStatus
1GraphConv + dummy super nodeAUC0.87—Unverified
2GraphConvAUC0.86—Unverified
#ModelMetricClaimedVerifiedStatus
1GLAMAUC0.89—Unverified
#ModelMetricClaimedVerifiedStatus
1GLAMAUC0.93—Unverified
#ModelMetricClaimedVerifiedStatus
1HierG2GDiversity0.19—Unverified
#ModelMetricClaimedVerifiedStatus
1Multi-input Neural network with AttentionAUC0.91—Unverified
#ModelMetricClaimedVerifiedStatus
1GLAMRMSE0.59—Unverified
#ModelMetricClaimedVerifiedStatus
1GLAMRMSE1.32—Unverified
#ModelMetricClaimedVerifiedStatus
1GLAMRMSE0.6—Unverified
#ModelMetricClaimedVerifiedStatus
1Ensemble locally constant networksRMSE1.22—Unverified
#ModelMetricClaimedVerifiedStatus
1HierG2GDiversity0.48—Unverified
#ModelMetricClaimedVerifiedStatus
1GLAMAUC0.74—Unverified