ranaabarghout Goto Github PK

che322

Course repo for CHE322: Process Control at UofT.

dlkcat

Deep learning and Bayesian approach applied to enzyme turnover number for the improvement of enzyme-constrained genome-scale metabolic models (ecGEMs) reconstruction

evodiff

Generation of protein sequences and evolutionary alignments via discrete diffusion models

generative_protein_design_datasets

A repository highlighting and linking existing resources and datasets for generative protein modeling.

gnn-project

A Graph Neural Network project on HIV data

hemicellulose-machine-learning

This repository hosts all the files for the hemicellulose machine learning project.

hestia-ood

Independent evaluation set construction for trustworthy ML models in biochemistry

kinmod_access

Accessing the KinMod database and performing some data extraction/analysis on it

lstm-variational-autoencoder

A PyTorch Implementation of Generating Sentences from a Continuous Space by Bowman et al. 2015.

mldd_hackathon

Kinase selectivity activity for the ML for Drug Discovery Summer School Hackathon

mtl_summer_school_2024

nlp_proteins

Research project for MIE1517: Introduction to Deep Learning

nuclease_design

ML-guided enzyme engineering

pet-pilot-2023

Results and data from the pilot round of the Protein Engineering Tournament

protein_compound_data_scraping

Scraping BRENDA for kinetic data related to substrate-enzyme complexes with information on protein sequences, substrate SMILES, and product SMILES

protein_kinetics_data_scrapping

Protein kinetics data scrapping from BRENDA database.

ranaabarghout

ranaabarghout.github.io

random_deeplearning

Random deep learning projects I've worked on (generative, predictive, CNN/LSTM/GANs)

regulation_w_nlp

Exploring using NLP to predict regulation parameters in different organisms

sequence-to-function-learning

Sequence to Function Learning Based on NLP models