Anvitha Chetluri

About

B.S.-M.S. student in Biotechnology focused on bioinformatics, sequence analysis, structural biology, and machine learning applications in biology. Experience with reproducible analysis workflows, genome comparison, and computational modeling across research and project work.

Experience

• Computational Viral Vector Design
  NucleoVir Therapeutics
  2026 – Present

  Developing a computational framework for viral vector design by investigating viral capsid-host receptor interactions and identifying sequence and structural determinants of receptor recognition. Curated and analyzed viral protein sequences across diverse strains to characterize sequence diversity, conserved regions, and evolutionary relationships relevant to receptor interaction. Built reproducible sequence-analysis workflows using MMseqs2, MAFFT, IQ-TREE, iTOL, Rate4Site, and HMMER for sequence clustering, multiple sequence alignment, phylogenetic analysis, and residue conservation analysis. Using AlphaFold3, Boltz-2, Proteinix-v2 for prediction of heterodimer complex, assessing its metal ion placement accuracy. Modeled dynamic host receptor structures and performed comparative protein-protein docking to investigate receptor-binding interfaces and identify candidate interaction residues. Conformational sampling using techniques like Normal Mode Analysis using Bio3D package in R and BioEMU. Analyzed predicted protein-protein interfaces using PyMOL and Chimera, including residue contacts, intermolecular distances, hydrogen-bonding interactions, and structural comparisons.

Education

• B.S-M.S
  Maharashtra Institute of Technology, Pune
  Biotechnology — Bioinformatics and Data Science · Aug 2022 – May 2027

Skills

Tools / apps / platforms

Projects

• AI bots in Healthcare: appointment booking and navigation
  Figma, Canva

  Proposed an AI-bot based healthcare navigation and appointment-booking application, MedSync, to address hospital network interoperability and overbooking issues.

• Comparative Genomics of Zika Virus (ZIKV)
  CheckV, Snippy, MAFFT, MEGA, Linux, Miniconda, Pandas, Matplotlib

  Performed genome cleaning, variation analysis, multiple sequence alignment, and quality-metric visualization to study evolutionary patterns in Zika virus genomes.

• Breast cancer classification in datasets using logistic regression
  Python, Scikit-learn

  Built a logistic regression model for breast cancer classification after removing missing values and labeling malignant and benign cases.

• Exploratory Data Analysis on COVID-19 Clinical Trials
  R, ggplot2

  Conducted exploratory data analysis on 5,783 global clinical trials, performed data cleaning and missing value analysis, engineered time-based features, and visualized key patterns in trial phase distribution, intervention types, and study status.

• Locating Bacterial Flagellar Motors
  YOLOv8s

  Developed a 2D object detection pipeline to locate bacterial flagellar motors in cryo-electron tomography tomograms. Parsed 3D motor coordinates from annotations, converted point annotations to YOLO bounding boxes, fine-tuned YOLOv8s, and explored 3D CNN approaches for improved detection accuracy.

Courses & certifications

• Cancer Tools and Techniques · MERCK · 2025
• Introduction to Machine Learning · Kaggle · 2025
• Drug Delivery — Aptamers as Delivery Agents · NPTEL · 2024
• In-silico Vaccine Design · Pravega-IISc · 2023
• Molecular Docking · RGCB · 2023

⚽ Extracurricular activities

• School representative at national-level science congress

  Represented school under the CSIR-NEERI Jigyasa scheme in class 11.

• Debate and public speaking participant

  Participated in multiple debate competitions and public speaking events, demonstrating oratory skills.

• Kuchipudi dancer

  Formally trained in Kuchipudi and performed in multiple cultural events.

🎯 Hobbies & interests

• Dance
• Debating
• Public Speaking