Deep Learning for Protein Homology Detection

Project Title:
Deep Protein Remote Homology Detection

Project Description:
Developed a deep learning-based model for remote homology detection in proteins.
Utilized AI/ML/DL techniques to classify protein sequences based on evolutionary relationships.Integrated bioinformatics tools like PSI-BLAST/Delta-BLAST for feature extraction (e.g., PSSM profiles).Built, trained, and evaluated deep neural networks (CNNs/RNNs/transformers) for biological sequence analysis.Required a strong foundation in mathematics (probability, linear algebra, statistics) to design and optimize models.Focused on improving accuracy over traditional machine learning approaches by leveraging deep feature learning.

Practical skills included Python, TensorFlow/PyTorch, BioPython, and data preprocessing techniques for biological datasets.

Skills Needed:
Artificial Intelligence (AI),Machine Learning (ML),Deep Learning (DL),Mathematics for Machine Learning,Bioinformatics (sequence alignment, feature extraction),Python Programming,Understanding of Protein Structures and Homology Concepts, PSI-Blast, Delta-Blast, Knowledge of SCOPe dataset and protein sequence dataset