Author

Kaushalya Madhawa

The University of TokyoORCID 0000-0002-6488-6723Unclaimed ORCID profile · follow to get notified of new preprints

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Kaushalya Madhawa1 paper

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:protein structure· 1

Frequent Co-Authors

Aravinda MunasingheiD· 1 shared Dasun PremathilakaiD· 1 shared Nuwan Sriyantha BandaraiD· 1 shared Sachini Chandanayake· 1 shared Sahan Hettiarachchi· 1 shared Subodha CharlesiD· 1 shared Vithurshan Varenthirarajah· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Aravinda MunasingheORCID

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1 paper

Recent·Most cited

BioinformaticsJournal of Structural BiologyPeer-reviewedOct 24, 2025

Deep Geometric Framework to Predict Antibody-Antigen Binding Affinity

Nuwan Sriyantha Bandara, Dasun Premathilaka, Sachini Chandanayake…·Subodha Charles

The paper introduces a deep geometric framework for predicting antibody-antigen binding affinity, achieving a 10% improvement in mean absolute error over existing methods.

3 citations

protein structuredeep learning

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