Hello, I'm Shrivatsa Hegde
A Bioinformatician specializing in Molecular Docking, Cancer Genomics & Computational Biology
Experience
Years in Bioinformatics
Publications
Published Papers
Projects
Research Projects
→ Programming: R, Python, Bash, C
→ Libraries: Pandas, NumPy, ggplot2, Biopython
→ Data Analysis: Statistical modeling, pathway analysis
→ Platforms: Linux, HPC environments, Git
→ Drug Discovery & Molecular Docking
→ Cancer Genomics & Oncology
→ Machine Learning in Bioinformatics
→ Gene Expression & NGS Analysis
PTK2/FAK in Breast Cancer
Comprehensive computational analysis of PTK2 protein expression across breast cancer subtypes, identifying correlations with tumor stemness, proliferation scores, and epithelial-to-mesenchymal transition (EMT). Applied gene expression profiling, pathway enrichment analysis, and statistical modeling.
My Resume
Research Assistant
Investigated molecular docking, modeling, and gene expression in depth. Published a paper on the computational approach to studying the effects of phytochemicals on cancer. Conducted gene expression studies including expression matrices and identifying differentially expressed genes.
→ Publication Link (Frontiers in Oncology)
Bioinformatics Intern
Applied BioNLP techniques to identify and analyze biomedical named entities. Developed a foundation in machine learning and its tools within bioinformatics research.
→ Indian Institute of Technology Guwahati
Pharmacovigilance Intern
Drug safety monitoring, adverse event reporting, signal detection, risk assessment, and regulatory compliance in drug safety. Gained insights into global drug safety regulations.
→ Edutech Life Pvt Ltd
M.Sc. in Bioinformatics
SGPA: 8.13
→ JSS Academy of Higher Education and Research
B.Sc. in Chemistry, Botany, Zoology
Result: 71.3%
→ MES's M.M. Arts And Science College, Sirsi
Pre-University
Result: 73%
MHN Government PU College, Kolgeebes
My Publications
Targeting FAK, VEGF, and MTA 1 Proteins with Terminalia elliptica: A Computational Approach for Anticancer Activity
→ Frontiers in OncologyApplication of Microbial Technique for the Synthesis of Organic Acid from Different Agrobiomasses
→ Agricultural Biomass for the Synthesis of Value-Added Materials (Taylor & Francis)My Projects
PTK2/FAK Crosstalk & Menopausal Status in Breast Cancer
In-depth computational analysis of PTK2 protein expression across various breast cancer subtypes. Identified significant correlations between PTK2 expression and tumor stemness, proliferation scores, and EMT. Applied gene expression profiling, pathway enrichment analysis, and statistical modeling using R and Python.
→ JSS Academy of Higher Education and Research, Mysuru
Focal Adhesion Kinase as Target for Terminalia elliptica
Explored the therapeutic potential of natural products in breast cancer treatment. Identified chebulagic acid as a promising lead molecule using molecular docking, with superior binding affinity to FAK compared to standard drug podophyllotoxin.
→ JSS Academy of Higher Education and Research, Mysuru
About Me
I am a passionate and driven bioinformatician with a diverse educational background spanning chemistry, biology, and computational sciences. My expertise encompasses data analysis and proficiency in multiple programming languages including Linux/Bash, Python, R, and C, along with strong skills in data manipulation libraries such as Pandas and NumPy.
I am keenly interested in exploring the applications of machine learning and artificial intelligence in bioinformatics. My passion lies in leveraging these skills to tackle challenging problems and contribute to cutting-edge research and projects.
I'm always eager to collaborate on drug discovery, machine learning projects, research endeavors, and competitions. Feel free to reach out!
→ Drug discovery & molecular docking
→ Cancer research & genomics
→ Machine learning in bioinformatics
→ Research publications & competitions
→ Freelance bioinformatics consulting
→ Open science initiatives
Python
R
Bash / Linux
C
TensorFlow
Git
HTML
CSSMy Certifications
Bioinformatics for Biologists: Introduction to Linux, Bash Scripting, and R
Linux essentials, file system navigation, data manipulation, and automating data processing with shell scripts for export to R for analysis and visualization.
→ View Certificate (FutureLearn)
Next Generation Sequencing Certificate Course
Advanced expertise in NGS technology — a comprehensive experience to develop essential skills in analyzing complex genomic data.
→ Biogrademy
Data Analysis with Python: Zero to Pandas
Step-by-step approach to learning Python for data analysis — skills and knowledge necessary to analyze data and extract valuable insights.
→ View Certificate (Jovian)
Complete Linux Training Course
An excellent resource for those who are new to Linux — learning, understanding, and practicing its various aspects and functionalities.
→ View Certificate (Udemy)
Genetics and Next Generation Sequencing for Bioinformatics
A great kickstart for learning the ins and outs of Next Generation Sequencing with Galaxy. Recommended for everyone in this field!
→ View Certificate (Udemy)
Bioinformatics: Learn Docking & Molecular Dynamics Simulation
A great way to begin learning molecular docking and simulation. A must-have skill for everyone in this field.
→ View Certificate (Udemy)
Interactive Bio Tools
Use these tools to perform common bioinformatics analyses directly in your browser — no software installation needed.
Pairwise Sequence Alignment
Compare two protein sequences (single-letter amino acid codes) and visualize similarity.
Uses Needleman-Wunsch global alignment (JavaScript implementation)
Ramachandran Plot Demo
Visualize a simulated Ramachandran plot — upload a PDB file or use the demo data to see dihedral angle distributions.
Demo uses simulated Ramachandran data. For full analysis, use the Shiny App.
Get In Touch
I'd love to hear from you about potential collaborations, research opportunities, or just to chat about bioinformatics!
+91 9739767884