Rana Ahmed Barghout's Projects
Course repo for CHE322: Process Control at UofT.
Deep learning and Bayesian approach applied to enzyme turnover number for the improvement of enzyme-constrained genome-scale metabolic models (ecGEMs) reconstruction
Generation of protein sequences and evolutionary alignments via discrete diffusion models
Fitness landscape exploration sandbox for biological sequence design.
A repository highlighting and linking existing resources and datasets for generative protein modeling.
A Graph Neural Network project on HIV data
This repository hosts all the files for the hemicellulose machine learning project.
Independent evaluation set construction for trustworthy ML models in biochemistry
Accessing the KinMod database and performing some data extraction/analysis on it
A PyTorch Implementation of Generating Sentences from a Continuous Space by Bowman et al. 2015.
Kinase selectivity activity for the ML for Drug Discovery Summer School Hackathon
Research project for MIE1517: Introduction to Deep Learning
ML-guided enzyme engineering
Results and data from the pilot round of the Protein Engineering Tournament
Scraping BRENDA for kinetic data related to substrate-enzyme complexes with information on protein sequences, substrate SMILES, and product SMILES
Protein kinetics data scrapping from BRENDA database.
Random deep learning projects I've worked on (generative, predictive, CNN/LSTM/GANs)
Exploring using NLP to predict regulation parameters in different organisms
Sequence to Function Learning Based on NLP models