patrickbryant1/MHCII

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Created about 5 years ago
Updated over 3 years ago

patrickbryant1/MHCII

patrickbryant1

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Code for predicting the binding affinity of different MHC-II complexes to peptides of varying lengths in terms of ic50.

Umol

Protein-ligand structure prediction

Jupyter Notebook

EvoBind

In silico directed evolution of peptide binders with AlphaFold

Jupyter Notebook

SpeedPPI

Rapid protein-protein interaction network creation from multiple sequence alignments with Deep Learning

AFProfile

Improved protein complex prediction with AlphaFold-multimer by denoising the MSA profile

Cfold

Structure prediction of alternative protein conformations

Jupyter Notebook

MoLPC

Modelling of Large Protein Complexes

Jupyter Notebook

TransPep

Learning biological features of signal peptides with transformer neural networks.

COVID19.github.io

Supervised machine learning for decoposing decision making in the COVID19 outbreak.

Jupyter Notebook

binder_design

Jupyter Notebook

patrickbryant1.github.io

OXMatch

A simple script for matching sequences from two different MSAs based on the OX identifiers resulting from an hhblits search.

epidemic_net

Models the spread of COVID19 on a social network.

infection_biology_ws

Exercises for AI Applications in Infection Biology

Jupyter Notebook

ptb_rnn

A recurrent neural network of stacked LSTMs that predict text sequences using the Penn Treebank dataset.

ageing_of_blood_and_brain

Assessing the relationship between ageing and changes in the human blood and brain methylomes.