Author

Sikander Hayat

Icahn School of Medicine at Mount SinaiPrimary ORCID profile (0000-0001-5919-8371 · 21 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Sikander HayatiD21 papers · RWTH Aachen University

Biology Disciplines

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Bioinformatics· 2 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Assay:protein structure· 2 Research Focus:protein structure prediction· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Chris SanderiD· 2 shared Debora S. MarksiD· 2 shared Abena Gyasi· 1 shared Abrisham EskandariiD· 1 shared Alexander C. BashoreiD· 1 shared Amy KontorovichiD· 1 shared Ana DevesaiD· 1 shared Anastasia K. FilimonoviD· 1 shared

Activity by Year

2014-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Chris SanderORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Integrative Omics Identifies Candidate Plasma Biomarkers and Cellular Targets Associated with Thoracic Aortic Aneurysm

Alexander C. Bashore, Emir Radkevich, Vladimir Roudko, Zhihong Chen, Kai Nie, Tia Rizakos, Jarod Morgenroth-Rebin, Darwin D’Souza, Anastasia K. Filimonov, Abena Gyasi, Abrisham Eskandari, Mariya Shadrina, Ana Devesa, Enrique J. Garcia, Maria Giovanna Trivieri, , Amy Kontorovich

This study identifies 25 cellular subsets in thoracic aortic aneurysm tissue and links FGF-23 as a plasma biomarker associated with aortic diameter and disease.

bioRxiv · Jul 25, 2025 · PreprintCell Biology

EVfold.org: Evolutionary Couplings and Protein 3D Structure Prediction

Robert Sheridan, Robert J. Fieldhouse, Sikander Hayat, Yichao Sun, Yevgeniy Antipin, Li Yang, Thomas Hopf, Debora S. Marks, Chris Sander

EVfold.org uses evolutionary couplings to predict protein 3D structures from sequence data with high accuracy.

bioRxiv · Jul 2, 2015 · PreprintBioinformatics

Accurate prediction of transmembrane β-barrel proteins from sequences

Sikander Hayat, Chris Sander, Arne Elofsson, Debora S. Marks

This paper develops a method to accurately predict the 3D structure of transmembrane β-barrel proteins from sequences, validated on 18 proteins and applied to predict LptD's structure.

bioRxiv · Jun 25, 2014Bioinformatics