Author

Peiwen Cong

Georgia Institute of TechnologyORCID 0000-0001-7753-8368Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biophysics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1 Organism:human· 1 Assay:multiome· 1 Research Focus:protein folding & dynamics· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Amir Hossein Kazemipour AshkezariiD· 2 shared Cheng ZhuiD· 2 shared Hyun‐Kyu ChoiiD· 1 shared Jing LiiD· 1 shared Jung Hun PheeiD· 1 shared Larissa DoudyiD· 1 shared Lingchao MaoiD· 1 shared Menglan LiiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersImmunology

Amir Hossein Kazemipour AshkezariORCID

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2 papers

Recent·Most cited

ImmunologyFrontiers in ImmunologyPeer-reviewedJun 5, 2026

Evaluating the effects of CD8/CD4 on T cell function in terms of TCR-pMHC-coreceptor catch and slip bonds

Stefano Travaglino, Amir Hossein Kazemipour Ashkezari, Menglan Li…·Cheng Zhu

This study evaluates how CD8/CD4 coreceptors affect T cell function by analyzing TCR-pMHC catch and slip bonds, finding that coreceptors enhance bond metrics and TCR sensitivity and specificity.

2 citations

humanproteomics

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BiophysicsBiophysical JournalPeer-reviewedMar 19, 2026

DynMoCo: a Novel AI Framework to Reveal Modular Substructures of Protein From Molecular Dynamics

Lingchao Mao, Mingu Kwak, Amir Hossein Kazemipour Ashkezari…·Cheng Zhu

DynMoCo identifies modular substructures in protein dynamics from molecular simulations by detecting time-evolving communities of residues.

DOI 10.1016/j.bpj.2026.03.034

multiomedeep learning

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