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janos-code's Projects

chembl icon chembl

Prediction of Potential Inhibitors for Targets(From ChEMBL), Based on Tensorflow.

craft icon craft

A simple Minecraft clone written in C using modern OpenGL (shaders).

deepchem icon deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

deepdta-tf icon deepdta-tf

Tensorflow implementation of "DeepDTA deep drug-target binding affinity prediction"

deepdtis_dbn icon deepdtis_dbn

Deep learning-based drug-target interaction prediction / Deep belief net (DBN) based on Theano

flexaid icon flexaid

Flexible Artificial Intelligence Docking

gnina icon gnina

A deep learning framework for molecular docking

mlsf icon mlsf

Code and data for reproducing the results of machine-learning vs classical scoring functions on a similarity-based benchmark

monn icon monn

MONN: a Multi-Objective Neural Network for Predicting Pairwise Non-Covalent Interactions and Binding Affinities between Compounds and Proteins

nndl.github.io icon nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

oddt icon oddt

Open Drug Discovery Toolkit

onionnet icon onionnet

A multiple-layer inter-molecular contact features based deep neural network for protein-ligand binding affinity prediction

openmm icon openmm

OpenMM is a toolkit for molecular simulation using high performance GPU code.

openworm icon openworm

Project Home repo for Central Dockerfile and Project-wide issues

p2rank icon p2rank

P2Rank: Protein-ligand binding site prediction tool based on machine learning. Stand-alone command line program / Java library for predicting ligand binding pockets from protein structure.

pidginv3 icon pidginv3

Protein target prediction using random forests and reliability-density neighbourhood analysis

python icon python

All Algorithms implemented in Python

qsar-tools icon qsar-tools

Scripts for assisting in modeling quantitative structure activity relationships from 2D chemical data

r-appveyor icon r-appveyor

Tools for using R with AppVeyor (https://appveyor.com)

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