Ernest Awoonor-Williams (awoonor)

awoonor

Geek Repo

Company:Memorial University

Location:Canada

Home Page:https://awoonor.github.io/

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Ernest Awoonor-Williams's repositories

Cysteine_pKa_PDB_files

Input files for Cysteine pKa Benchmark Study

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ProLIF_pcopy

Interaction Fingerprints for protein-ligand complexes and more

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MD_4everyone

Cloud-based molecular simulations for everyone

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ExampleNotebooks_OpenFreeEnergy

Notebooks demonstrating how to do simple tasks related to free energy calculations.

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Chemoinformatics-tutos

Compilation of chemoinformatics and machine learning techniques

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PyAutoFEP

PyAutoFEP: an automated FEP workflow for GROMACS integrating enhanced sampling methods

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machine-learning-book_PyTorch-and-Scikit-Learn

Code Repository for Machine Learning with PyTorch and Scikit-Learn

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molmodsim-md-theory-lesson-novice

Some practical theoretic background needed for running MD simulations

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bash-scripting

files for my bash-scripting course on Safari Live

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AToM-OpenMM

OpenMM-based framework for absolute and relative binding free energy calculations with the Alchemical Transfer Method

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PythonFullThrottle

Files for attendees of my PythonFullThrottle Safari Online Learning Live Training

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practical_cheminformatics_molskill

Practical Cheminformatics Blog Posts

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gmx_qk

automated protein-ligand GROMACS prep workflow

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rdkit-tutorials

Tutorials to learn how to work with the RDKit

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perses

Experiments with expanded ensembles to explore chemical space

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drug-computing

Educational materials for, and related to, UC Irvine's Drug Discovery Computing Techniques course (PharmSci 175/275), currently taught by David Mobley.

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HPC_Drug

A middleware python tool for computational drug discovery on HPC architectures

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google-research_AL-FEP

Google Research

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awoonor.github.io

Github userpage

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chemprop

Message Passing Neural Networks for Molecule Property Prediction

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AMBER-parameters-database

Each parameter set is defined by an OFF and FRCMOD file.

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Machine-Learning-Specialization-Coursera

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

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MoleculeACE

A tool for evaluating the predictive performance on activity cliff compounds of machine learning models

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cookiecutter-cms

Python-centric Cookiecutter for Molecular Computational Chemistry Packages

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