Author

Shenghua Gao

ShanghaiTech UniversityORCID 0000-0003-1626-2040Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

Fang BaiiD· 1 shared Junhong Yuan· 1 shared Lei JiniD· 1 shared Lin WangiD· 1 shared Pengxuan ReniD· 1 shared Qi HaniD· 1 shared Ruifeng LiiD· 1 shared Shihang WangiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Fang BaiORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 23, 2024

PhenoScreen: A Dual-Space Contrastive Learning Framework-based Phenotypic Screening Method by Linking Chemical Perturbations to Cellular Morphology

Shihang Wang, Qi Han, Weichen Qin…·Fang Bai

PhenoScreen predicts compound-induced phenotypic changes by linking chemical space to cellular morphology using contrastive learning, showing effectiveness in osteosarcoma and rhabdomyosarcoma.

7 citations

humanproteomics

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BioinformaticsbioRxivPreprintMay 12, 2021

Protein contact map prediction using multiple sequence alignment dropout and consistency learning for sequences with fewer homologs

Xuyang Liu, Lei Jin, Shenghua Gao, Suwen Zhao

The paper improves protein contact map prediction for sequences with few homologs by using consistency learning on reduced multiple sequence alignments.

2 citations

protein sequencecontrastive learning

𝕏 PostBluesky