Prajesh Shrestha

About Me

PhD candidate specializing in computational and experimental peptide design for next-generation therapeutics

Prajesh Shrestha - Professional headshot

Prajesh Shrestha

PhD Candidate & Research Assistant

PhD
Candidate
12
Publications
Professional Summary

I am a PhD candidate in Pathobiological Sciences at Louisiana State University, specializing in computational and experimental peptide design for next-generation therapeutics. My expertise spans molecular modeling, docking, and molecular dynamics alongside biophysical validation techniques such as SPR, HPLC, CD, and mass spectrometry.

I focus on targeting protein–protein interactions in oncology and autoimmune disease, with published work on grafted peptide chimeras, BODIPY-TKI conjugates, cyclic peptidomimetics, and liposomal delivery systems. I apply bioinformatics and RNA-seq analysis to investigate therapeutic mechanisms, complemented by 3D tumor spheroid models and in vivo studies in cancer and rheumatoid arthritis.

Research Philosophy

I believe in the power of rational drug design combined with rigorous experimental validation. My approach integrates cutting-edge computational methods with traditional biochemical techniques to accelerate the discovery of novel therapeutic peptides. Every project is driven by the ultimate goal of improving patient outcomes through innovative science.

Research and Technical Expertise

Research Focus Areas

Peptide Design & Synthesis

Rational design of bioactive peptides using structure-activity relationships and advanced synthetic methodologies

Cancer Therapeutics

Development of peptide-based inhibitors targeting key protein-protein interactions in oncology

Autoimmune Disease Treatment

Engineering immunomodulatory peptides for selective T-cell response modulation

Computational Biology

Molecular dynamics simulations and machine learning approaches for drug discovery

Technical Proficiency

Biophysical & Analytical
Surface Plasmon Resonance
HPLC
Circular Dichroism
NMR
DLS
Cryo-EM
Kinase Assays
Computational Biology
PyMOL
MOE
Discovery Studio
NAMD
GROMACS
UCSF Chimera
Molecular Docking
MD Simulations
Bioinformatics & Data
RNA-seq Processing
Cell Ranger
DESeq2
EdgeR
GSEA
IPA
R Programming
Python
Cell Biology & In Vivo
Flow Cytometry
Confocal Microscopy
3D Spheroids
Xenograft Models
Animal Surgery
Histopathology
Drug Formulation
Liposomal Formulation
pH-sensitive Systems
Peptide Films
Scale-up
cGMP Compliance
Data Analysis Tools
GraphPad Prism
MATLAB
JMP
ImageJ
Fiji
Statistical Analysis

Academic Journey

PhD in Pathobiological Sciences
Louisiana State University School of Veterinary Medicine • May 2023 - August 2025

Research Project: "Design & Development of Peptide and peptidomimetics Inhibitors for non-small cell lung cancer therapy"

Coursework: Structural Biology and Drug Discovery, Introduction to Bioinformatics/NGS Data, Molecular Genetics, Basic Immunology, Flow Cytometry lab, Advanced Microscopy, Grant Writing

GPA: 4.0/4.0
Graduate Student
University of Louisiana at Monroe • August 2021 - April 2023

Coursework: Advanced Pharmaceutics, Advanced Medicinal Analysis, Molecular Theory Foundations, Molecular Structure and Functional Proteins, Advanced Pharmacology & Pharmacology Lab, Advanced Statistics

GPA: 4.0/4.0
AAPS ULM Student Chapter

Key Achievements:

Advanced Analytical Techniques
Drug Formulation Development
Computational Modeling
Bachelor of Pharmacy
Tribhuvan University, Institute of Medicine • November 2013 - December 2017

Completed Bachelor's degree in Pharmacy with a focus on pharmaceutical sciences, medicinal chemistry, and drug development fundamentals. Foundation in pharmaceutical analysis, formulation development, and regulatory sciences.

Sr. Formulation and Development Scientist
Accord Pharmaceuticals Pvt. Ltd • October 2018 - August 2021

Developed and optimized dosage forms including bilayer sustained-release tablets, capsules, liquids, ointments, and creams through excipient compatibility studies, DoE, scale-up, and stability testing.

cGMP Compliance
Scale-up Operations
Regulatory Affairs
Quality Assurance

Recent Training & Certifications

Data Analysis & Machine Learning
Quaxon Bio and IT Solutions • May 2025

Advanced R programming for bioscience research applications

Bytes and Molecules
Louisiana Biomedical Research Network • March 2025

Computational biology and bioinformatics fundamentals

Introduction to Bioinformatics
Louisiana Biomedical Research Network • March 2025

NGS data analysis and computational pipeline development

Density Functional Theory
Discovery Boulevard • March 2025

Advanced computational chemistry methods

Python Fundamentals
Great Learning • August 2024

Programming fundamentals for scientific applications

Let's Collaborate

Interested in discussing research opportunities, collaborative projects, or sharing insights in peptide drug design? I'm always open to connecting with fellow researchers and industry professionals.