Code Monkey home page Code Monkey logo

Tharindu Senapathi's Projects

neuralplexer icon neuralplexer

NeuralPLexer: State-specific protein-ligand complex structure prediction with a multi-scale deep generative model

nnp-mm icon nnp-mm

Scripts to interface TorchANI NNP with NAMD

numpyro icon numpyro

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

openchem icon openchem

OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research

openforcefield icon openforcefield

The Open Forcefield Toolkit provides implementations of the SMIRNOFF format, parameterization engine, and other tools. Documentation available at http://open-forcefield-toolkit.readthedocs.io

openpathsampling icon openpathsampling

An open source Python framework for transition interface and path sampling calculations.

optimol icon optimol

Optimization of binding affinities in chemical space for drug discovery

perses icon perses

Experiments with expanded ensembles to explore chemical space

pipelines icon pipelines

Containerised components for cheminformatics and computational chemistry

pocket2mol icon pocket2mol

Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets

polaris icon polaris

path of least action analysis on energy landscapes

poltype2 icon poltype2

Poltype 2: Automated Parameterization and Free Energy Prediction for AMOEBA

propka-3.1 icon propka-3.1

PROPKA predicts the pKa values of ionizable groups in proteins and protein-ligand complexes based in the 3D structure.

protocaller-1 icon protocaller-1

Full automation of relative protein-ligand binding free energy calculations in GROMACS

psi4 icon psi4

Open-Source Quantum Chemistry – an electronic structure package in C++ driven by Python

psi4numpy icon psi4numpy

Combining Psi4 and Numpy for education and development.

pyautofep icon pyautofep

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

pycharmm-workshop icon pycharmm-workshop

pyCHARMM tutorial, documentation and examples. This repository contains materials originally from the pyCHARMM Workshop run at the University of Michigan by Charles Brooks' Group, June 20-24.

pycontact icon pycontact

Analysis of non-covalent interactions in MD trajectories

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.