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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 426–450 of 1337 papers

Title	Date	Tasks	Status	Score
KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images	Nov 22, 2018	Drug DiscoveryPrediction Of Cancer Cell Line Sensitivity	CodeCode Available	5
DeepSIBA: Chemical Structure-based Inference of Biological Alterations	Apr 1, 2020	Drug Discovery	CodeCode Available	5
Latent Guided Sampling for Combinatorial Optimization	Jun 4, 2025	Combinatorial OptimizationDrug Discovery	CodeCode Available	5
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations	Jan 24, 2022	BenchmarkingDrug Discovery	CodeCode Available	5
Auxiliary Discrminator Sequence Generative Adversarial Networks (ADSeqGAN) for Few Sample Molecule Generation	Feb 23, 2025	DiversityDrug Discovery	CodeCode Available	5
JAX MD: End-to-End Differentiable, Hardware Accelerated, Molecular Dynamics in Pure Python	Sep 25, 2019	BIG-bench Machine LearningCPU	CodeCode Available	5
Automatic Annotation Augmentation Boosts Translation between Molecules and Natural Language	Feb 10, 2025	Drug DiscoveryMolecule Captioning	CodeCode Available	5
Accelerating the Generation of Molecular Conformations with Progressive Distillation of Equivariant Latent Diffusion Models	Apr 21, 2024	Drug Discovery	CodeCode Available	5
DeeplyTough: Learning Structural Comparison of Protein Binding Sites	Apr 5, 2019	Drug Discovery	CodeCode Available	5
Deeply learning molecular structure-property relationships using attention- and gate-augmented graph convolutional network	May 28, 2018	Drug Discovery	CodeCode Available	5
Leak Proof CMap; a framework for training and evaluation of cell line agnostic L1000 similarity methods	Apr 29, 2024	BenchmarkingDrug Discovery	CodeCode Available	5
Bridging Quantum and Classical Computing in Drug Design: Architecture Principles for Improved Molecule Generation	Jun 1, 2025	Bayesian OptimizationDrug Design	CodeCode Available	5
Drug-target interaction prediction by integrating heterogeneous information with mutual attention network	Apr 3, 2024	Drug DiscoveryGraph Attention	CodeCode Available	5
Integrating convolutional layers and biformer network with forward-forward and backpropagation training	Feb 28, 2025	Computational chemistryDrug Discovery	CodeCode Available	5
Integration of Genetic Algorithms and Deep Learning for the Generation and Bioactivity Prediction of Novel Tyrosine Kinase Inhibitors	Aug 13, 2024	Deep LearningDrug Discovery	CodeCode Available	5
AMPL: A Data-Driven Modeling Pipeline for Drug Discovery	Nov 13, 2019	BIG-bench Machine LearningDrug Discovery	CodeCode Available	5
Independent Vector Analysis for Data Fusion Prior to Molecular Property Prediction with Machine Learning	Nov 1, 2018	BIG-bench Machine LearningDrug Discovery	CodeCode Available	5
Improving Compound Activity Classification via Deep Transfer and Representation Learning	Nov 14, 2021	Drug DiscoveryRepresentation Learning	CodeCode Available	5
Improving Molecular Pretraining with Complementary Featurizations	Sep 29, 2022	Computational chemistryDrug Discovery	CodeCode Available	5
DynamicDTA: Drug-Target Binding Affinity Prediction Using Dynamic Descriptors and Graph Representation	May 13, 2025	Drug Discovery	CodeCode Available	5
Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties	Oct 14, 2022	Drug DiscoveryTransfer Learning	CodeCode Available	5
Interpretable Deep Learning in Drug Discovery	Mar 7, 2019	Deep LearningDrug Discovery	CodeCode Available	5
Implementation and Application of an Intelligibility Protocol for Interaction with an LLM	Oct 27, 2024	Drug DiscoveryLarge Language Model	CodeCode Available	5
Improved antibody structure prediction by deep learning of side chain conformations	Sep 22, 2021	Deep LearningDrug Discovery	CodeCode Available	5
Deep Inverse Reinforcement Learning for Structural Evolution of Small Molecules	Jul 24, 2020	Drug DiscoveryGenerative Adversarial Network	CodeCode Available	5

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All datasets QM9 Tox21 BACE HIV dataset MUV ToxCast BBBP BindingDB clintox DAVIS-DTA KIBA LIT-PCBA(ALDH1)

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Molecular Graph Convolutions	Error ratio	2.59	—	Unverified
2	Gated Graph Sequence NN	Error ratio	1.36	—	Unverified
3	MPNNs	Error ratio	0.68	—	Unverified
4	DeepMoleNet	Error ratio	0.53	—	Unverified
5	DimeNet	Error ratio	0.44	—	Unverified
6	PaiNN	Error ratio	0.41	—	Unverified
7	DimeNet++	Error ratio	0.41	—	Unverified
8	ComENet	Error ratio	0.4	—	Unverified
9	SphereNet	Error ratio	0.39	—	Unverified
10	MXMNet	Error ratio	0.38	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	elEmBERT-V1	AUC	0.96	—	Unverified
2	TrimNet + Perforated Backpropagation	AUC	0.89	—	Unverified
3	SSVAE with multiple SMILES	AUC	0.87	—	Unverified
4	Ensemble predictor	AUC	0.86	—	Unverified
5	TrimNet	AUC	0.86	—	Unverified
6	GraphConv + dummy super node	AUC	0.85	—	Unverified
7	GraphConv	AUC	0.85	—	Unverified
8	SNN (SELU Network)	AUC	0.85	—	Unverified
9	ContextPred	AUC	0.78	—	Unverified
10	GIT-Mol(G+S)	AUC	0.76	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TrimNet	AUC	0.88	—	Unverified
2	Ensemble locally constant network	AUC	0.87	—	Unverified
3	ProtoW-L2	AUC	0.87	—	Unverified
4	elEmBERT-V1	AUC	0.86	—	Unverified
5	ContextPred	AUC	0.85	—	Unverified
6	GIT-Mol(G+S)	AUC	0.81	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GraphConv + dummy super node + focal loss	AUC	0.85	—	Unverified
2	GraphConv	AUC	0.82	—	Unverified
3	TrimNet	AUC	0.8	—	Unverified
4	ContextPred	AUC	0.8	—	Unverified
5	RNN-DFS	AUC	0.63	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TrimNet	AUC	0.85	—	Unverified
2	GraphConv + dummy super node	AUC	0.85	—	Unverified
3	GraphConv	AUC	0.84	—	Unverified
4	ContextPred	AUC	0.81	—	Unverified
5	RNN-DFS	AUC	0.65	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TrimNet	AUC	0.78	—	Unverified
2	GraphConv + dummy super node	AUC	0.77	—	Unverified
3	GraphConv	AUC	0.75	—	Unverified
4	GIT-Mol(G+S)	AUC	0.67	—	Unverified
5	ContextPred	AUC	0.66	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ProtoW-L2	AUC	0.92	—	Unverified
2	elEmBERT-V1	AUC	0.91	—	Unverified
3	GIT-Mol(G+S)	AUC	0.74	—	Unverified
4	ContextPred	AUC	0.69	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AttentionSiteDTI	AUC	0.97	—	Unverified
2	GLAM	AUC	0.95	—	Unverified
3	TransformerCPI	AUC	0.94	—	Unverified
4	DGraphDTA	AUC	0.92	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BiLSTM	AUC	0.97	—	Unverified
2	TrimNet	AUC	0.95	—	Unverified
3	GIT-Mol(G+S)	AUC	0.88	—	Unverified
4	ContextPred	AUC	0.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SMT-DTA	CI	0.89	—	Unverified
2	DeepPurpose	CI	0.88	—	Unverified
3	DeepDTA	CI	0.87	—	Unverified
4	GraphDTA	CI	0.86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SMT-DTA	CI	0.89	—	Unverified
2	DeepPurpose	CI	0.87	—	Unverified
3	DeepDTA	CI	0.86	—	Unverified
4	GraphDTA	CI	0.86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	EGT+TGT-At-DP	AUC	0.81	—	Unverified
2	GLAM	AUC	0.76	—	Unverified
3	TransformerCPI	AUC	0.69	—	Unverified
4	DGraphDTA	AUC	0.68	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	EGT+TGT-At-DP	AUC	0.75	—	Unverified
2	GLAM	AUC	0.71	—	Unverified
3	TransformerCPI	AUC	0.65	—	Unverified
4	DGraphDTA	AUC	0.63	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	EGT+TGT-At-DP	AUC	0.74	—	Unverified
2	GLAM	AUC	0.73	—	Unverified
3	TransformerCPI	AUC	0.68	—	Unverified
4	DGraphDTA	AUC	0.67	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	elEmBERT-V1	AUC	0.78	—	Unverified
2	Ensemble locally constant networks	AUC	0.69	—	Unverified
3	GIT-Mol(G+S)	AUC	0.63	—	Unverified
4	ContextPred	AUC	0.63	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GLAM	AUC	0.67	—	Unverified
2	TransformerCPI	AUC	0.62	—	Unverified
3	DGraphDTA	AUC	0.61	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DeepDTA	Pearson Correlation	0.85	—	Unverified
2	DeepAffinity	Pearson Correlation	0.84	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GraphConv + dummy super node	AUC	0.87	—	Unverified
2	GraphConv	AUC	0.86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GLAM	AUC	0.89	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GLAM	AUC	0.93	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HierG2G	Diversity	0.19	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Multi-input Neural network with Attention	AUC	0.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GLAM	RMSE	0.59	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GLAM	RMSE	1.32	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GLAM	RMSE	0.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Ensemble locally constant networks	RMSE	1.22	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HierG2G	Diversity	0.48	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GLAM	AUC	0.74	—	Unverified