Author

Yangying Liu

Lehigh UniversityORCID 0000-0001-9662-1941Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Brian Yuan CheniD· 2 shared Grant A. ArmstrongiD· 1 shared Houliang ZhouiD· 1 shared Justin Z. TamiD· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

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2 shared papersBioinformatics

Brian Yuan ChenORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 4, 2023

DeepVASP-S: a deep-learning tool for explaining steric mechanism that controls binding specificity

Yangying Liu, Houliang Zhou, Brian Yuan Chen

DeepVASP-S predicts amino acid contributions to binding specificity using CNNs and explains steric mechanisms in protein-ligand interactions.

DOI 10.1101/2023.11.04.565624

protein structuredeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintOct 26, 2023

MechPPI: Binding Mechanism-based Machine-Learning tool for Predicting Protein-Protein Binding Affinity Changes Upon Mutations

Yangying Liu, Grant A. Armstrong, Justin Z. Tam, Brian Yuan Chen

MechPPI predicts protein-protein binding affinity changes due to mutations by using mechanism-based features, showing accuracy in single mutation analysis.

2 citations

protein sequencemachine learning (classical)

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