Summary
Overview
Work History
Education
Skills
Publications
Book Chapter
Conferences
Referees
Timeline
Generic
Gurvisha Sandhu

Gurvisha Sandhu

Computational Chemist
Noida

Summary

Experienced biotechnologist and computational chemist with a strong background in industry and academic collaborative research. Skilled in molecular modeling and dynamics simulations, utilizing quantum and molecular mechanics approaches to analyze protein structure and behavior. Adept in drug discovery methods, lead optimization, and ensemble-based energy evaluation of protein-ligand binding dynamics, with a focus on experiment prioritization. Committed to fostering a culture of optimism, learning, and knowledge sharing as a collaborative team player.

Overview

19
19
years of professional experience
7
7
years of post-secondary education

Work History

Ph.D.

University of Delhi
10.2015 - 02.2023

Research Title: Lead molecule development directed by synovial biology for rheumatoid arthritis using fragment quantum mechanical approach. Funded by DBT India (#BT/COE/34/SP15246/2015-Phase-II)

  • The Ph.D. work highlights the assembly of a protein fragmentation-based quantum mechanical simulation pipeline for incorporating electronic polarization effect into protein-ligand binding dynamics
  • Proof-Of-Concept: The established pipeline reliably ranked existing inhibitors having close nanomolar range activities for the same protein, MAP3K8 which is a pharmacologically relevant in RA pathology
  • Pipeline-based energy evaluations further facilitated discovery and synthesis of novel lead molecule candidates for prioritizing cell line-based experiments of their inhibitory potential
  • Work also covers development and validation of a protein class-specific cheminformatics tool for predicting off-target profiles of small molecule inhibitors. The tool reiterated the suitability of targeting MAP3K8 for selective lead design in RA

Scientific Lead Followed by Head of Scientific Research

LeadInvent Technologies Pvt. Ltd.
03.2007 - 03.2015

LeadInvent Technologies Pvt. Ltd, TBIU, New Delhi

  • Assisted in formulating collaborative project proposals (Sphaera Pharma, AIIMS Biotech Wing, IIT Madras) in specific healthcare areas by evaluating therapeutic targets based on academic and market research and prioritizing deliverables and timeline.
  • Conducted and guided research in drug discovery projects covering active-site characterization of protein targets (DiscoveryStudio, Maestro), pharmacophore design, geometry optimization (HyperChem), charge derivation (Gaussian09/AmberTools) docking studies (Autodock/Glide) and binding affinity prediction using empirical scoring function (SanjeeviniPro).
  • Carried out Molecular Dynamics (MD) simulations of protein, protein-ligand and protein-DNA complexes (AMBER, GROMACS) followed by analysis and interpretation for understanding protein mutations, homology model structure refinement, conformational changes.
  • Presented project reports to joint research team under industry collaborations.
  • Mentored and guided MSc students to complete their dissertation

Research Trainee Followed by Research Scientist

IIT Delhi
06.2004 - 01.2007

Supercomputing Facility for Bioinformatics and Computational Biology, IIT Delhi

  • Completed full-time advanced certificate program in Bioinformatics and Computational Biology at IITD (Jun 2004)
  • Conducted active-site directed lead design for specific cancer targets (Insight II, TCS Biosuite) for a collaborative breast cancer project under IIT, Delhi and Dabur Research Foundation, Sahibabad, India

Education

M.Sc. - Microbiology

University of Delhi

B.Sc. (Hons) - Microbiology

University of Delhi

Ph.D. - Department of Genetics

University of Delhi
10.2015 - 02.2023

Skills

    Programming languages: Shell (bash) scripting, Perl, Python

    Operating systems: Windows, Linux, executing and managing jobs on cluster machines and parallel computing environment

    Molecular modeling packages: AMBER, GROMACS, NAMD, Gaussian09, Schrodinger, Autodock, Delphi, Modeller, small-molecule library builder (MarvinSketch, HyperChem, ChemDraw), visualization tools (Discovery studio, Maestro, VMD, Pymol), plotting tools (Xmgrace, SciPy python package)

Publications

  • Sandhu, G., Agrawal, P., Bose, S., Thelma, B.K., Building polarization into protein-inhibitor binding dynamics in rational drug design for rheumatoid arthritis, Journal of Biomolecular Structure and Dynamics, 42, 11, 5912-5930, 2023, 3.2
  • Sandhu, G., Thelma, B.K., New Druggable Targets for Rheumatoid Arthritis Based on Insights from Synovial Biology, Frontiers in Immunology, 13, 834247, 2022, 5.7
  • Shaikh, S.A., Jain, T., Sandhu, G., Latha, N., Jayaram, B., From drug target to leads- sketching, A physicochemical pathway for lead molecule design in silico, Current Pharmaceutical Design, 13, 3454-3470, 2007, 2.6
  • Shenoy, S., Jayaram, B., Sandhu, G., From gene to drug: A proof of concept for a plausible computational pathway, Proceedings, IEEE Computer Society, 1147-1152, 2006, 23.2

Book Chapter

Shaikh, S.A., Jain, T., Sandhu, G., Soni, A., Jayaram, B., From drug target to leads-sketching a physicochemical pathway for lead molecule design in silico, Frontiers in Medicinal Chemistry, 6, 324-360, Atta ur Rahman, Allen B. Reitz, M. Iqbal Choudhary, Bentham Publishers, 2012

Conferences

  • Building protein polarization effect into protein-inhibitor binding dynamics for lead molecule prioritization, International Conference of Drug Discovery (ICDD), Schrodinger, BITS, Pilani, 02/29/20 - 03/02/20
  • Cheminformatics-based off-target prediction tool development, 35th Annual Conference of the Indian Rheumatology Association (IRACON), JIPMER, 12/05/19 - 12/08/19
  • Active site directed drug design in silico: Sanjeevini, International Conference in Bioinformatics (InCoB), IITD, JNU, DBTIndia, 12/18/06 - 12/20/06
  • Binding affinity-based lead molecule design: Sanjeevini, Pharmacoinformatics: QSAR workshop, NIPER, 03/01/06 - 03/03/06

Referees

  • Prof. B. K. Thelma, Department of Genetics, University of Delhi, South Campus, New Delhi-110021, India, Email: thelmabk@gmail.com


  • Prof. Latha Narayanan, Head, Department of Biotechnology, and Dean, School of Engineering & Applied Sciences, Bennett University (The Times group), Greater Noida, Uttar Pradesh-201310, Email: n.latha@bennett.edu.in

Timeline

Ph.D.

University of Delhi
10.2015 - 02.2023

Ph.D. - Department of Genetics

University of Delhi
10.2015 - 02.2023

Scientific Lead Followed by Head of Scientific Research

LeadInvent Technologies Pvt. Ltd.
03.2007 - 03.2015

Research Trainee Followed by Research Scientist

IIT Delhi
06.2004 - 01.2007

M.Sc. - Microbiology

University of Delhi

B.Sc. (Hons) - Microbiology

University of Delhi

Gurvisha SandhuComputational Chemist