Pankaj Daga

Principal Scientist at Neuron23
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Location
Fremont, California, United States, US

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Experience

    • United States
    • Biotechnology Research
    • 1 - 100 Employee
    • Principal Scientist
      • Jun 2023 - Present
    • United States
    • Software Development
    • 1 - 100 Employee
    • Principal Scientist
      • Nov 2021 - Jun 2023

    • Senior Scientist II
      • Jan 2018 - Nov 2021

    • Senior Scientist
      • Jan 2016 - Jan 2018

    • United States
    • Pharmaceutical Manufacturing
    • 700 & Above Employee
    • Presidential PostDoctoral Fellow
      • Jul 2012 - Jan 2016

      * Built predictive QSPR models using machine learning methods (ANN, PLS and RF) for rat liver microsomal intrinsic clearance, and caco2 permeability. Modes were built using R and PYTHON * Developed novel “rational bioavailability design” approach using global sensitivity analysis of PBPK simulations using R to identify physicochemical parameters driving bioavailability during lead optimization * Devised a workflow for multi-parameter optimization (MPO) in design of biologically active molecules with good pharmacokinetic properties * Supported ongoing projects by predicting rat bioavailability of newly designed molecules using PBPK simulations, prioritizing compounds for animal studies Show less

    • Pharmaceutical Manufacturing
    • 1 - 100 Employee
    • Post Doctoral Fellow
      • May 2010 - Jun 2012

      # Identified novel Nociceptin Receptor (GPCR) modulators (submicromolar activity) by hybrid structure-based (homology model) and ligand-based virtual screening # Contributed to iterative efforts of lead optimization for opioid receptor modulators (micromolar to nanomolar; non-selective to selective) in collaboration with medicinal chemists # Proposed differential binding modes for Nociceptin receptor agonists and antagonists & designed analogs to successfully validate the hypothesis # Carried out computational alanine scanning of binding site residues of Nociceptin receptor and prioritized in vitro mutation experiment for validation Show less

    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Research Assistant
      • Aug 2005 - May 2010

      # Elucidated the mechanism of resistance development by HBV DNA Polymerase against known inhibitors using comparative protein model # Predicted architectural & conformational changes in active site of homology model of Protoporphyrinogen Oxidase using MD simulations; experimentally confirmed by team of biochemists in USDA. # Designed & tested semisynthetic derivatives of latrunculin to comprehend protein-ligand interactions, using molecular docking, molecular dynamics simulations and binding energy calculations Show less

    • India
    • Pharmaceutical Manufacturing
    • 700 & Above Employee
    • Research Associate
      • Feb 2003 - Jul 2005

      $ Virtual screening in search of novel leads with submicromolar affinity against raf-kinase, c-Src kinase using protein homology models $ Suggested modifications in existing COX-2 inhibitors to improve binding affinity $ QSAR, QSPR, ADME prediction of drug-like molecules $ Virtual screening in search of novel leads with submicromolar affinity against raf-kinase, c-Src kinase using protein homology models $ Suggested modifications in existing COX-2 inhibitors to improve binding affinity $ QSAR, QSPR, ADME prediction of drug-like molecules

Education

  • University of Mississippi
    Doctor of Philosophy (Ph.D.), Computational & Medicinal Chemistry
    2005 - 2010
  • National Institute of Pharmaceutical Education and Research
    M. S., Pharmacy
    2001 - 2002
  • Savitribai Phule Pune University
    B. Pharmacy, Pharmacy
    1997 - 2001

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