All Projects → LPDI-EPFL → FunFolDesData

LPDI-EPFL / FunFolDesData

Licence: other
Rosetta FunFolDes – a general framework for the computational design of functional proteins.

Programming Languages

scala
5932 projects
shell
77523 projects

Projects that are alternatives of or similar to FunFolDesData

lightdock
Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm
Stars: ✭ 110 (+633.33%)
Mutual labels:  structural-biology, protein-structure, protein-design, protein-protein-interaction
protein-transformer
Predicting protein structure through sequence modeling
Stars: ✭ 77 (+413.33%)
Mutual labels:  structural-biology, protein-structure
Bio3DView.jl
A Julia package to view macromolecular structures in the REPL, in a Jupyter notebook/JupyterLab or in Pluto
Stars: ✭ 30 (+100%)
Mutual labels:  structural-biology, protein-structure
RamaNet
Preforms De novo protein design using machine learning and PyRosetta to generate a novel protein structure
Stars: ✭ 41 (+173.33%)
Mutual labels:  protein-structure, protein-design
mmtf-spark
Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.
Stars: ✭ 20 (+33.33%)
Mutual labels:  protein-structure, protein-protein-interaction
haddocking.github.io
Webpage of the Bonvinlab @ Utrecht University and HADDOCK software
Stars: ✭ 14 (-6.67%)
Mutual labels:  structural-biology, protein-protein-interaction
VSCoding-Sequence
VSCode Extension for interactively visualising protein structure data in the editor
Stars: ✭ 41 (+173.33%)
Mutual labels:  structural-biology, protein-structure
sidechainnet
An all-atom protein structure dataset for machine learning.
Stars: ✭ 227 (+1413.33%)
Mutual labels:  structural-biology, protein-structure
gcWGAN
Guided Conditional Wasserstein GAN for De Novo Protein Design
Stars: ✭ 38 (+153.33%)
Mutual labels:  protein-structure, protein-design
DMPfold
De novo protein structure prediction using iteratively predicted structural constraints
Stars: ✭ 52 (+246.67%)
Mutual labels:  protein-structure
ProteinSecondaryStructure-CNN
Protein Secondary Structure predictor using Convolutional Neural Networks
Stars: ✭ 82 (+446.67%)
Mutual labels:  protein-structure
openfold
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
Stars: ✭ 1,717 (+11346.67%)
Mutual labels:  protein-structure
contact map
Contact map analysis for biomolecules; based on MDTraj
Stars: ✭ 27 (+80%)
Mutual labels:  protein-protein-interaction
deepblast
Neural Networks for Protein Sequence Alignment
Stars: ✭ 29 (+93.33%)
Mutual labels:  protein-structure
deeprank
Deep learning framework for data mining protein-protein interactions using CNN
Stars: ✭ 99 (+560%)
Mutual labels:  protein-protein-interaction
Computational-CryoEM
A curated list of awesome computational cryo-EM methods.
Stars: ✭ 33 (+120%)
Mutual labels:  structural-biology
oncoEnrichR
Cancer-dedicated gene set interpretation
Stars: ✭ 35 (+133.33%)
Mutual labels:  protein-protein-interaction
tr-rosetta-pytorch
Implementation of trRosetta and trDesign for Pytorch, made into a convenient package, for protein structure prediction and design
Stars: ✭ 62 (+313.33%)
Mutual labels:  protein-design
MEGADOCK
An ultra-high-performance protein-protein docking for heterogeneous supercomputers
Stars: ✭ 28 (+86.67%)
Mutual labels:  protein-protein-interaction
ball
The Biochemical Algorithms Library
Stars: ✭ 64 (+326.67%)
Mutual labels:  structural-biology

FunFolDes Data Repository

This repository contains all the data and scripts required to reproduce the data on the paper:

Rosetta FunFolDes – a general framework for the computational design of functional proteins.

Jaume Bonet, Sarah Wehrle, Karen Schriever, Che Yang, Anne Billet, Fabian Sesterhenn, Andreas Scheck, Freyr Sverrisson, Barbora Veselkova, Sabrina Vollers, Roxanne Lourman, Mélanie Villard, Stéphane Rosset, Thomas Krey, Bruno E. Correia

bioRxiv PLoS Computational Biology

FunFolDes is part of the Rosetta Suite and can be freely obtained with an academic license.

The three main segments of this repository are:

  • 01.backbone2motif: Contains all the data and scripts referring to the paper's section Capturing conformational and sequence changes in small protein domains.

  • 02.backbone2binder: Contains all the data and scripts referring to the paper's section Target-biased folding and design of protein binders.

  • 03.designs: Contains all the data, scripts and experimental data referring to the designed proteins provided as proof of concept in the article: an RSVF site II carrier (based on 1kx8) and a RSVF site IV carrier (based in TOP7).

Lastly, the folder named resources contains the instructions to build the necessary databases to run the experiments and pieces of RosettaScripts commonly shared by all scripts in the repository executing the FunFolDes protocol.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].