Professor Madhu Chopra

Prof. Madhu Chopra

Coordinator - Bioinformatics Center (BIC), DBT

Joint Director - IOE (Institute of Eminence)

Email: mchopradu16@gmail.com, mchopra@acbr.du.ac.in

14 Ph.D. completions
55 M.Sc. Projects Guided
40 Summer Training Projects
  • Molecular Modeling, Drug Design and Bioinformatics
  • Drug Development and mechanism
  • Nanotechnology: Nanomaterials and application in drug delivery
  • Computer Assisted Drug Design and Development

Research Highlights

Prof. Chopra’s group is actively involved in identifying lead compounds against important cancer targets using computational methods. They have made significant strides in designing compounds against SARS-CoV-2 targets and received the Drug Discovery Hackathon Phase I Award (DDH-2020). The group also focuses on detailed mechanistic studies, protein-protein interaction networks, and nanoparticle-based drug delivery agents.

Explore Ankalan

A multi target prediction server.
Funded by DBT.

Upcoming Events

BIF DU Workshop

18 to 20 December

Seminar Hall ACBR

BIF DU Workshop

18 to 20 December

Seminar Hall ACBR

Our Journey

Established the Bioinformatics Facility (BIF) at ACBR in 2006, with support from DBT.

Re-approved as Bioinformatics Centre "BIC of ACBR, University of Delhi" in 2020 for five years.

Total support: Rs. 100 lakhs (2006-2020) + 189.36 Lakhs (Feb 2021-2025)

Additional funding under NNP with IITD, 170 Lakhs (Sept. 2023-28)

Introduced one-year PG diploma in bioinformatics, computational biology, and drug discovery (2022-23)

Objectives of BIC

  • Development of bioactivity prediction server: ACBR_Aankalan Engine
  • Pharmacophore Generation/ Machine learning-based model generation
  • Pharmacophore/ML-based virtual screening
  • Identification of repurposed drugs/novel drug lead molecules
  • System Biology approach through Genome Mining to discover new targets
  • Manpower Training in drug design and computational biology

Our Vision

To be a leading center of excellence in bioinformatics and computational biology research

Foster innovation in drug discovery through cutting-edge computational approaches

Develop next-generation tools and methodologies for biological data analysis

Create a collaborative ecosystem connecting academia and industry