Author

Nikita Desai

BenchSci (Canada)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:protein structure· 1

Frequent Co-Authors

Alexandre M. J. J. BonviniD· 1 shared Arnab Kundu· 1 shared Charlotte Mary DeaneiD· 1 shared Constantin SchneideriD· 1 shared Daniel CuttingiD· 1 shared Fernando SuareziD· 1 shared Jordan Newington· 1 shared Juliana CudiniiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperBioinformatics

Alexandre M. J. J. BonvinORCID

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2 papers

Recent·Most cited

Novel Target Combinations in Lung Squamous Cell Carcinoma proposed by the Emet AI Research Environment and supported by discovery stage experimentation

Jyothish Soman, Jordan Newington, Simeon Wong, Nikita Desai, Sophia Leung, Juliana Cudini, Fernando Suarez, Peter Grandsard, Arnab Kundu

The paper proposes novel two-target combinations for LUSC using an AI research environment and validates them through experimental testing.

bioRxiv · Sep 10, 2026 · PreprintBioinformatics

Towards the accurate modelling of antibody-antigen complexes from sequence using machine learning and information-driven docking

Marco Giulini, Constantin Schneider, Daniel Cutting, Nikita Desai, Charlotte Mary Deane, Alexandre M. J. J. Bonvin

The paper evaluates how machine learning-generated antibody and antigen structures can improve antibody-antigen complex modelling using HADDOCK, showing improved accuracy over ZDOCK.

Bioinformatics · Sep 27, 2024Peer-reviewedBioinformatics