Prajesh Shrestha
Background
Professional Gradient

Research Projects

Advancing peptide therapeutics through innovative design and rigorous scientific methodology

Current Research Focus

EGFR family signaling pathways
EGFR-HER2 Dimerization Interface Targeting
Structure-based peptide design for receptor inhibition

Our research focuses on developing orally bioavailable grafted peptides targeting EGFR receptor dimers for non-small cell lung cancer therapy. We integrate computational modeling (PyMOL, MOE, Discovery Studio, NAMD, GROMACS) with experimental validation using SPR, HPLC, kinase assays, and confocal imaging, complemented by in vivo studies in xenograft and PDX models.

Protein-Protein Interactions
Epidermal Growth Factor Receptors
Peptide Design
Protein structural analysis
Autoimmune Modulatory Peptides
Selective Peptide Based CD2-CD58 Interaction Inhibitors

Our research involves soluble peptide and peptidomimetic inhibitor for inhibition of Costimulatory CD2-CD58 nexus thus preventing against autoimmune disease like Rheumatoid Arthritis. We design peptide-based therapeutics that can modulate protein-protein interactions critical to immune system regulation.

Structural Biology
Rheumatoid Arthritis
CD2:CD58 Interaction

Collaborative Research

NIGMS Structural Biology and Drug Discovery Sandbox Model
Computational Pipeline Development and Validation

Contributed to the development and testing of the NIGMS Structural Biology and Drug Discovery Sandbox Model, applying computational pipelines to evaluate molecular interactions and therapeutic targets. This work advances the integration of computational methods in drug discovery workflows.

NIGMS Collaboration
Computational Pipelines
Drug Discovery

Methodological Expertise

Computational Drug Design
  • Molecular Dynamics: GROMACS, AMBER, CHARMM force fields
  • Docking & Scoring: AutoDock Vina, Glide, FlexX
  • Free Energy: FEP, TI, Umbrella sampling
  • QSAR/QSPR: Machine learning models for activity prediction
  • RNA-seq Processing: Cell Ranger on HPC clusters
  • Differential Expression: DESeq2, EdgeR in R
  • Pathway Analysis: GSEA, IPA
  • Visualization: Loupe Browser, Space Ranger
  • Statistical Analysis: GraphPad Prism, MATLAB, JMP
Peptide Synthesis & Modification
  • SPPS: Fmoc/tBu strategy, microwave-assisted synthesis
  • Cyclization: Disulfide, lactam, click chemistry
  • Stapling: Hydrocarbon, triazole, thioether bridges
  • Modifications: Unnatural amino acids, PEGylation
Biophysical Characterization
  • Binding Kinetics: SPR (Biacore), ITC, MST
  • Structural Analysis: CD, NMR, X-ray crystallography
  • Stability Studies: Proteolytic, thermal, chemical
  • Cell Studies: Uptake, localization, cytotoxicity