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Piyush Kumar Yadav

Piyush Kumar Yadav

Assistant Professor in Bioinformatics; computational drug discovery researcher

piyush-yadav-4442
Phagwara, Punjab, India
Joined June 2026

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Summary

Computational drug-discovery and molecular modelling focus: His published work and profiles emphasize computer-aided drug discovery techniques — including pharmacophore modelling, 3D-QSAR, molecular docking and molecular dynamics — applied to biomedical targets such as TMPRSS6, LTCC and microbial virulence proteins. google+2
Peer-reviewed academic contributor: He has multiple peer-reviewed publications (Infection, Genetics and Evolution; Molecular Diversity; Molecular Simulation; Computers in Biology and Medicine) addressing computational analyses in infectious disease, iron-overload biology and cancer-related microbial factors. nih+2
Academic progression and research service: Career progression from research roles (Amity, Central University of South Bihar) to an assistant professorship at Lovely Professional University, combined with departmental and conference organization responsibilities. orcid+2
Involvement in funded, resource-intensive computational research: At least one publication acknowledges Indian Council of Medical Research funding and use of national supercomputing resources, indicating participation in funded computational projects requiring high-performance computing. tandfonline

Work

Education

Projects

Writing

3D-QSAR based computational screening of potent ligands against L-type calcium channel (LTCC) protein structure for iron overload in β-thalassemia

January 1, 2025

3D-QSAR and computational screening study aimed at identifying ligands targeting LTCC as a therapeutic approach for complications arising from iron overload in beta-thalassemia.

Favicon imagedl.acm.org

Pharmacophore-based computational study on inhibitor of TMPRSS6 as hepcidin modulator in an iron overload of beta-thalassaemia

January 1, 2024

In-silico pharmacophore modeling, virtual screening, docking and MD simulation study identifying potential small-molecule inhibitors of TMPRSS6 to modulate hepcidin in iron-overload conditions.

Favicon imagetandfonline.com

Structure based High-Throughput Virtual Screening, Molecular Docking and Molecular Dynamics Study of anticancer natural compounds against fimbriae (FimA) protein of Porphyromonas gingivalis in oral squamous cell carcinoma

January 1, 2024

High-throughput virtual screening and molecular dynamics study identifying natural-compound leads against the FimA virulence protein of P. gingivalis, with implications for oral squamous cell carcinoma.

Favicon imagepubmed.ncbi.nlm.nih.gov

In silico analysis highlighting the prevalence of BCL2L1 gene and its correlation to miRNA in human coronavirus (HCoV) genetic makeup

January 1, 2022

Computational study correlating the host protein gene BCL2L1 with miRNA (miR-23b) via network analysis in the context of human coronaviruses.

Favicon imagepubmed.ncbi.nlm.nih.gov

A review of iron overload in beta-thalassemia major, and a discussion on alternative potent iron chelation targets

January 1, 2022

Review article discussing iron overload in beta-thalassemia major and alternative chelation targets.

Favicon imagescholar.google.com