Author

José Manuel Barraza-Chavez

University of TorontoORCID 0009-0006-8183-6310Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:ChIP-seq· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:protein design· 1

Frequent Co-Authors

Benjamín Sánchez-LengelingiD· 2 shared Abhiram ChalamalasettyiD· 1 shared Adesh Rohan MishraiD· 1 shared Adrián JinichiD· 1 shared Fleur M. FergusoniD· 1 shared Paola DrizaiD· 1 shared Radhakrishnan MahadevaniD· 1 shared Rana Ahmed BarghoutiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBioengineering

Benjamín Sánchez-LengelingORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

BioengineeringbioRxivPreprintOct 22, 2026

Do protein representations encode variant function? Diagnosing residue-level protein attributions via embedding-space gradients

Rana Ahmed Barghout, Shengqing Wu, William Chau…·Benjamín Sánchez-Lengeling

This paper evaluates residue-level attributions in protein language models using synthetic fitness landscapes and identifies interventions that improve attribution accuracy.

DOI 10.64898/2026.10.21.760763

protein sequencestatistical model

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BiochemistrybioRxivPreprintJan 5, 2026

TubercuProbe: A Cross-Attention Graph-Sequence Model for Cross-Species Chemoproteomic Discovery in Mycobacterium tuberculosis

Abhiram Chalamalasetty, Adesh Rohan Mishra, Fleur M. Ferguson…·Adrián Jinich

TubercuProbe prioritizes compound-protein interactions in Mycobacterium tuberculosis using a cross-attention graph-sequence model trained on human chemoproteomic data.

DOI 10.64898/2026.01.04.697588

humanChIP-seq

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