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 276–300 of 1337 papers

Title	Date	Tasks	Status	Hype
Molecular machine learning with conformer ensembles	Dec 15, 2020	BIG-bench Machine LearningDeep Learning	CodeCode Available	1
Accelerating high-throughput virtual screening through molecular pool-based active learning	Dec 13, 2020	Active LearningBayesian Optimization	CodeCode Available	1
A Deep Generative Model for Molecule Optimization via One Fragment Modification	Dec 8, 2020	Drug Discovery	CodeCode Available	1
Advanced Graph and Sequence Neural Networks for Molecular Property Prediction and Drug Discovery	Dec 2, 2020	BIG-bench Machine LearningDrug Discovery	CodeCode Available	1
Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules	Nov 28, 2020	Drug DiscoveryUncertainty Quantification	CodeCode Available	1
Molecular representation learning with language models and domain-relevant auxiliary tasks	Nov 26, 2020	Drug Discoverymolecular representation	CodeCode Available	1
Message Passing Networks for Molecules with Tetrahedral Chirality	Nov 24, 2020	Drug Discovery	CodeCode Available	1
Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures	Nov 15, 2020	Drug DiscoveryFormation Energy	CodeCode Available	1
TrimNet: learning molecular representation from triplet messages for biomedicine	Nov 4, 2020	Drug DiscoveryMolecular Property Prediction	CodeCode Available	1
COMO: A Pipeline for Multi-Omics Data Integration in Metabolic Modeling and Drug Discovery	Nov 4, 2020	Data IntegrationDrug Discovery	CodeCode Available	1
Learning a Continuous Representation of 3D Molecular Structures with Deep Generative Models	Oct 17, 2020	Drug Discoveryvalid	CodeCode Available	1
Cross-Domain Few-Shot Learning by Representation Fusion	Oct 13, 2020	Cross-Domain Few-Shotcross-domain few-shot learning	CodeCode Available	1
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization	Oct 5, 2020	Drug DiscoveryType prediction	CodeCode Available	1
End-to-End Differentiable Molecular Mechanics Force Field Construction	Oct 2, 2020	Computational chemistryDrug Discovery	CodeCode Available	1
PIGNet: A physics-informed deep learning model toward generalized drug-target interaction predictions	Aug 22, 2020	Drug Discovery	CodeCode Available	1
Toward heterogeneous information fusion: bipartite graph convolutional networks for in silico drug repurposing	Jul 13, 2020	Drug Discovery	CodeCode Available	1
Efficient Conformal Prediction via Cascaded Inference with Expanded Admission	Jul 6, 2020	Computational chemistryConformal Prediction	CodeCode Available	1
Graph Prototypical Networks for Few-shot Learning on Attributed Networks	Jun 23, 2020	ClassificationDrug Discovery	CodeCode Available	1
We Should at Least Be Able to Design Molecules That Dock Well	Jun 20, 2020	Drug DesignDrug Discovery	CodeCode Available	1
MoFlow: An Invertible Flow Model for Generating Molecular Graphs	Jun 17, 2020	Drug DiscoveryGraph Generation	CodeCode Available	1
Optimal Transport Graph Neural Networks	Jun 8, 2020	Drug DiscoveryGraph Neural Network	CodeCode Available	1
DeepGG: a Deep Graph Generator	Jun 7, 2020	Drug DiscoveryGraph Embedding	CodeCode Available	1
Causal Network Models of SARS-CoV-2 Expression and Aging to Identify Candidates for Drug Repurposing	Jun 5, 2020	Drug Discovery	CodeCode Available	1
Drug–target affinity prediction using graph neural network and contact maps	Jun 1, 2020	Drug DesignDrug Discovery	CodeCode Available	1
PaccMann^RL on SARS-CoV-2: Designing antiviral candidates with conditional generative models	May 27, 2020	Drug Discovery	CodeCode Available	1

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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