Author

Asghar M. Razavi

ORCID 0000-0003-4639-5856Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1 Approach:statistical model· 1 Assay:structural biology· 1

Frequent Co-Authors

Cheryl M. KohiD· 1 shared Fabio TrovatoiD· 1 shared George Khelashvili· 1 shared Harel WeinsteiniD· 1 shared Huafeng XuiD· 1 shared Jesús A. IzaguirreiD· 1 shared Timothy PalpantiD· 1 shared Yujie WuiD· 1 shared

Activity by Year

2018-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 22 mutual co-author links

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1 shared paperBioinformatics

Cheryl M. KohORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 13, 2025

Discovery of molecular glues by modeling ternary complex conformational ensembles and thermodynamic stability

Jesús A. Izaguirre, Zachary A. McDargh, Fabio Trovato…·Huafeng Xu

This paper introduces GlueMap, a computational platform for discovering molecular glues by integrating structural modeling and machine learning, showing improved performance over existing models in predicting degradation potency and identifying new degraders.

11 citations

protein structuremachine learning (classical)

𝕏 PostBluesky

BiophysicsbioRxivPreprintJan 30, 2018

How structural elements added by evolution from bacterial transporters to human SLC6 homologs have enabled new functional properties

Asghar M. Razavi, George Khelashvili, Harel Weinstein

This study investigates how structural elements in human SLC6 transporters, evolved from bacterial homologs, enable new functional properties like reverse uptake through molecular dynamics and Markov State Model analysis of hDAT.

DOI 10.1101/204164

humanstructural biology

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