Author

Neelesh Soni

University of California, San FranciscoORCID 0000-0002-9333-7491Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:cell type annotation· 1 Assay:cryo-EM· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Approach:microscopy & imaging analysis· 1 Organism:mouse· 1 Organism:multiple species· 1

Frequent Co-Authors

Mallur Srivatsan MadhusudhaniD· 2 shared Andrej ŠaliiD· 1 shared Ankit RoyiD· 1 shared Brian T. ChaitiD· 1 shared Digvijay SinghiD· 1 shared Elizabeth VillaiD· 1 shared Farhaz ShaikhiD· 1 shared Gulzar Singh· 1 shared

Activity by Year

2019-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Mallur Srivatsan MadhusudhanORCID

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3 papers

Recent·Most cited

The Molecular Architecture of the Nuclear Basket

Digvijay Singh, Neelesh Soni, Joshua Hutchings, Ignacia Echeverria, Farhaz Shaikh, Madeleine Duquette, Sergey Suslov, Zhixun Li, Trevor van Eeuwen, Kelly R. Molloy, Yi Shi, Junjie Wang, Qiang Guo, Brian T. Chait, Javier Fernández-Martínez, , Elizabeth Villa

This study uses structural biology to reveal the architecture of the nuclear basket in yeast and mammals, showing how Mlp/Tpr proteins form its structural components.

Cell · Aug 9, 2024Peer-reviewedBiophysics

COCONUT: An analysis of coiled-coil regions in proteins

Neelesh Soni, Mallur Srivatsan Madhusudhan

The paper introduces COCONUT, a computational tool using machine learning to predict coiled-coil dimer orientation and model coiled-coil structures.

bioRxiv · Mar 25, 2024 · PreprintBioinformatics

Predicting and Designing therapeutics against the Nipah virus

Neeladri Sen, Tejashree Rajaram Kanitkar, Ankit Roy, Neelesh Soni, Kaustubh Amritkar, Shreyas Supekar, Sanjana Anilkumar Nair, Gulzar Singh, Mallur Srivatsan Madhusudhan

This paper predicts and designs therapeutics against Nipah virus by modeling its proteins, identifying peptide and small molecule inhibitors, and analyzing viral strain sequences for drug resistance.

PLoS neglected tropical diseases · Dec 12, 2019Peer-reviewedBioinformatics