Shen-Lab/cNMA

Stars
4
Rank 3,304,323 (Top 66 %)
Language
Python
License
MIT License
Created about 8 years ago
Updated over 5 years ago

Shen-Lab/cNMA

Shen-Lab

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Encounter Complex-based Normal Mode Analysis for Proteins

GraphCL

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

DeepAffinity

Protein-compound affinity prediction through unified RNN-CNN

GraphCL_Automated

[ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

SS-GCNs

[ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

gcWGAN

Guided Conditional Wasserstein GAN for De Novo Protein Design

TALE

Transformer-based protein function Annotation with joint feature-Label Embedding

LDM-3DG

[ICLR 2024] "Latent 3D Graph Diffusion" by Yuning You, Ruida Zhou, Jiwoong Park, Haotian Xu, Chao Tian, Zhangyang Wang, Yang Shen

Drug-Combo-Generator

Deep Generative Models for Drug Combination (Graph Set) Generation given Hierarchical Disease Network Embedding

GDA-SpecReg

[ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

LOIS

[NeurIPS 2019] LOIS: Learning to Optimize In Swarms, guided by posterior estimation

BAL

Bayesian Active Learning for Optimization and Uncertainty Quantification with Applications to Protein Docking

CPAC

[Bioinformatics 2022] Cross-Modality and Self-Supervised Protein Embedding for Compound-Protein Affinity and Contact Prediction

EGCN

Energy-based Graph Convolutional Networks for Scoring Protein Docking Models

Bayesian-L2O

[ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen

ncVarPred-1D3D

Multimodal learning of noncoding variant effects using genome sequence and chromatin structure

Signals-and-Systems

Signals and Systems Honors Projects

WSR-PredictPofPathogenicity

A weakly supervised regression approach to directly predict the probability of pathogenicity based on categorized pathogenicity classes

Shen-Lab.github.io

Rev_scripts_MutEffect