Featured Projects

Deciphering Protein Sequence Relationships: A Python Based Approach                                                                       

  • Utilized Python scripting and bioinformatics libraries (e.g., Biopython) to analyze protein.
  • Gained proficiency in sequence alignment, phylogenetic tree construction, and structure prediction using BLAST, INTERPROSCAN, SWISS-MODEL.
  • Identified key functional domains and structural motifs in proteins using Python scripting and Biopython, contributing to a deeper understanding of protein function and evolution.

NLP-Driven Gene Function Prediction using BERT in Biological Sequences

  • Working on a gene function prediction using NLP (BERT model) on biological sequences, focusing on TensorFlow.
  • Using BERT, we train on biological sequences to identify gene regions, predicting functionality in novel sequences with NLP, TensorFlow, and robust algorithms.
  • Automating gene identification and characterization with BERT can significantly advance gene function understanding for genomic research and applications.

Highly accurate protein structure prediction with Alphafold

  • Leveraged AlphaFold AI and ColabFold to explore protein folding, employing advanced predictive analysis and visualization tools (e.g., PyMOL) for structural assessment.

  • Demonstrated understanding of cutting-edge deep learning models in protein structure prediction and their significance in decoding complex protein architectures.

  • Utilized cutting-edge AlphaFold AI and ColabFold to predict protein structures with high accuracy (e.g., pLDDT > 90), illuminating potential applications in structural biology, drug discovery, and collaborative research.

Data Analysis on the prevalence of Anemia and its factors in Pregnant and Non-Pregnant Women.

  • Performed comprehensive statistical analysis of anemia prevalence in women using WHO datasets and R/Python.

  • Analyzed hemoglobin concentration distribution through box plots, confusion matrices, and histograms, identifying potential biases and disparities.

Featured Reports