Author

Md Mahmudulla Hassan

The University of Texas at El PasoORCID 0000-0003-4782-3736Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Govinda KCiD· 1 shared Suman SirimullaiD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Govinda KCORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintOct 31, 2019

KinasepKipred: A Predictive Model for Estimating Ligand-Kinase Inhibitor Constant (pKi).

Govinda KC, Md Mahmudulla Hassan, Suman Sirimulla

The paper develops a machine learning model to predict ligand-kinase inhibitor constants (pKi) using structural and physicochemical features, achieving high correlation and accuracy.

4 citations

machine learning (classical)drug response / drug discovery

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