Author

Di Jia Wu

Texas A&M UniversityORCID 0000-0002-6818-1886Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Assay:protein sequence· 2 Assay:metagenomics· 1

Frequent Co-Authors

Mostafa KarimiiD· 2 shared Yang SheniD· 2 shared Zhangyang WangiD· 2 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Mostafa KarimiORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedDec 21, 2020

Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts

Mostafa Karimi, Di Jia Wu, Zhangyang Wang, Yang Shen

This paper develops interpretable deep learning models for structure-free compound-protein affinity prediction and contact mapping, showing improved interpretability and performance.

64 citationstop 4%

protein sequencemetagenomics

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedFeb 15, 2019

DeepAffinity: Interpretable Deep Learning of Compound Protein Affinity through Unified Recurrent and Convolutional Neural Networks

Mostafa Karimi, Di Jia Wu, Zhangyang Wang, Yang Shen

DeepAffinity predicts compound-protein affinity using a semi-supervised deep learning model combining recurrent and convolutional networks, achieving high accuracy and interpretability.

542 citationstop 1%

protein sequencedeep learning

𝕏 PostBluesky