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LSTM_Chem

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Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

molecular-VAE

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Implementation of the paper - Automatic chemical design using a data-driven continuous representation of molecules

LSTM_peptides

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Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.

bacass

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Simple bacterial assembly and annotation pipeline

RamaNet

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Preforms De novo protein design using machine learning and PyRosetta to generate a novel protein structure

Recycler

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This is the codebase for Recycler, described in our manuscript: https://academic.oup.com/bioinformatics/article/33/4/475/2623362, by Roye Rozov, Aya Brown Kav, David Bogumil, Naama Shterzer, Eran Halp...

sirius

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SIRIUS is a software for discovering a landscape of de-novo identification of metabolites using tandem mass spectrometry. This repository contains the code of the SIRIUS Software (GUI and CLI)

sirius-libs

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sirius-libs - Metabolomics mass spectrometry framework for molecular formula identification of small molecules written in Java

HAT

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HAT is a set of tools for calling de novo variants from whole-genome sequencing data.