Author

Akhil Sanker

SRM Institute of Science and TechnologyORCID 0000-0003-0713-8080Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 3 Approach:machine learning (classical)· 2 Approach:deep learning· 1 Assay:metagenomics· 1 Assay:protein sequence· 1 Organism:virus· 1

Frequent Co-Authors

Ben Geoffrey A SiD· 3 shared Rafał MadajiD· 3 shared Judith GraciaiD· 2 shared Abdulbasit Haliru YakubuiD· 1 shared Ayodele Ifeoluwa FaletiiD· 1 shared Host Antony DavidiD· 1 shared Manish Upadhyay· 1 shared Mario Sergio Valdés TresancoiD· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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3 shared papersBioinformatics

Ben Geoffrey A SORCID

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3 papers

Recent·Most cited

BioinformaticsJournal of Biomolecular Structure and DynamicsPeer-reviewedMar 11, 2021

Target2DeNovoDrugPropMax : a novel programmatic tool incorporating deep learning and in silico methods for automated de novo drug design for any target of interest

Rafał Madaj, Ben Geoffrey A S, Akhil Sanker, Pavan Preetham Valluri

10 citations

protein sequencedeep learning

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BioinformaticsJournal of Biomolecular Structure and DynamicsPeer-reviewedDec 4, 2020

A program to automate the discovery of drugs for West Nile and Dengue virus -- programmatic screening of over a billion compounds on PubChem, generation of drug leads and automated In Silico modelling

Ben Geoffrey A S, Akhil Sanker, Rafał Madaj…·Judith Gracia

The paper presents a Python program that screens over a billion compounds from PubChem using machine learning to generate drug leads for Dengue and West Nile viruses, followed by automated In Silico modelling of their interactions with methyltransferase targets.

19 citations

virusmetagenomics

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BioinformaticsbioRxivPreprintJul 7, 2020

Automated identification of small drug molecules for Hepatitis C virus through a novel programmatic tool and extensive Molecular Dynamics studies of select drug candidates

Rafał Madaj, Akhil Sanker, Ben Geoffrey A S…·Abdulbasit Haliru Yakubu

The paper introduces a programmatic tool that automates drug discovery for Hepatitis C virus using machine learning and molecular dynamics simulations to identify potential drug candidates.

3 citations

machine learning (classical)drug response / drug discovery

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