Topic: proteins Goto Github
Some thing interesting about proteins
Some thing interesting about proteins
proteins,MoleculeKit: Your favorite molecule manipulation kit
Organization: acellera
proteins,PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)
Organization: alchemab
proteins,Learning to design protein-protein interactions with enhanced generalization (ICLR24)
User: anton-bushuiev
Home Page: https://arxiv.org/abs/2310.18515
proteins,Dataset and package for working with protein-protein interactions in 3D
User: anton-bushuiev
Home Page: https://ppiref.readthedocs.io
proteins,
Organization: aqlaboratory
proteins,Standardized data set for machine learning of protein structure
Organization: aqlaboratory
proteins,Implementation of Protein Classification based on subcellular localization using ProtBert(Rostlab/prot_bert_bfd_localization) model from Hugging Face library, based on BERT model trained on large corpus of protein sequences.
Organization: aws-samples
proteins,Open source biolab
Organization: basedlabs
proteins,Bio4j abstract model and general entry point to the project
Organization: bio4j
Home Page: http://www.bio4j.com
proteins,A geometric deep learning pipeline for predicting protein interface contacts. (ICLR 2022)
Organization: bioinfomachinelearning
Home Page: https://zenodo.org/record/6671582
proteins,The Enhanced Database of Interacting Protein Structures for Interface Prediction
Organization: bioinfomachinelearning
Home Page: https://zenodo.org/record/5134732
proteins,A PyTorch framework for prediction of tertiary protein structure
Organization: biolib
proteins,Toolbox for molecular animations in Blender, powered by Geometry Nodes.
User: bradyajohnston
Home Page: https://bradyajohnston.github.io/MolecularNodes/
proteins,Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023
User: chao1224
Home Page: https://openreview.net/forum?id=ygXSNrIU1p
proteins,Recurrent Geometric Network in Pytorch
User: conradry
proteins,A Julia package to analyze protein sequences, structures, and evolutionary information
User: diegozea
Home Page: https://diegozea.github.io/MIToS.jl/stable/
proteins,SWift and Optimized Recognition of protein Domains
Organization: dsimb
Home Page: https://www.dsimb.inserm.fr/SWORD2
proteins,Official code repository for EquiFold: Protein Structure Prediction with a Novel Coarse-Grained Structure Representation
Organization: genentech
Home Page: https://www.biorxiv.org/content/10.1101/2022.10.07.511322v1
proteins,Official repository for discrete Walk-Jump Sampling (dWJS)
Organization: genentech
Home Page: https://arxiv.org/abs/2306.12360
proteins,Official repo of the modular BioExcel version of HADDOCK
Organization: haddocking
Home Page: https://www.bonvinlab.org/haddock3
proteins,EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
User: hannesstark
proteins,Protein Design by Machine Learning guided Directed Evolution
Organization: hysonlab
Home Page: https://www.biorxiv.org/content/10.1101/2023.11.28.568945v1
proteins,Detailed nutrient composition of 528 key foods in India.
Organization: ifct2017
Home Page: https://www.npmjs.com/package/@ifct2017/compositions
proteins,CLANS 2.0 is a Python-based program for clustering sequences in the 2D or 3D space, based on their sequence similarities. CLANS visualizes the dynamic clustering process and enables the user to interactively control it and explore the cluster map in various ways.
User: inbalpaz
proteins,KIF - Key Interactions Finder. A python package to identify the key molecular interactions that regulate any conformational change.
Organization: kamerlinlab
Home Page: https://kamerlinlab.github.io/KIF/
proteins,Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm
Organization: lightdock
Home Page: https://lightdock.org/
proteins,Implementation and replication of ProGen, Language Modeling for Protein Generation, in Jax
User: lucidrains
proteins,Diffusion models of protein structure; trigonometry and attention are all you need!
Organization: microsoft
Home Page: https://www.nature.com/articles/s41467-024-45051-2
proteins,Contextualizing protein representations using deep learning on protein networks and single-cell data
Organization: mims-harvard
Home Page: https://zitniklab.hms.harvard.edu/projects/PINNACLE
proteins,Fast, state-of-the-art ab initio prediction of protein secondary structure in 3 and 8 classes
User: mircare
Home Page: http://distilldeep.ucd.ie/porter/
proteins,EquiDock: geometric deep learning for fast rigid 3D protein-protein docking
User: octavian-ganea
proteins,Inference code for PoET: A generative model of protein families as sequences-of-sequences
Organization: openproteinai
proteins,The pmartR R package provides functionality for quality control, normalization, exploratory data analysis, and statistical analysis of mass spectrometry (MS) omics data, in particular proteomic (either at the peptide or the protein level), lipidomic, and metabolomic data.
Organization: pmartr
Home Page: https://pmartr.github.io/pmartR/
proteins,Official repository for discrete Walk-Jump Sampling (dWJS)
Organization: prescient-design
Home Page: https://prescient-design.github.io/walk-jump/
proteins,PSIPRED Protein Secondary Structure Predictor
Organization: psipred
proteins,Free WordPress Plugin: Relying on certain statistics and recommendations, this free protein calculator predicts how much protein a person needs each day to be healthy. www.calculator.io/protein-calculator/
Organization: pub-calculator-io
Home Page: https://www.calculator.io/protein-calculator/
proteins,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.
User: rdk
Home Page: https://rdk.github.io/p2rank/
proteins,Prediction of binding residues for metal ions, nucleic acids, and small molecules.
Organization: rostlab
proteins,
User: sacdallago
proteins,R client for the OmniPath web service
Organization: saezlab
Home Page: https://r.omnipathdb.org/
proteins,Python macromolecular parsing (with .pdb/.cif/.mmtf parsing and production)
User: samirelanduk
Home Page: https://atomium.bio
proteins,Explore the cancer relevance of your gene list
User: sigven
Home Page: https://sigven.github.io/oncoEnrichR/
proteins,sensitive and precise assembly of short sequencing reads
Organization: soedinglab
Home Page: https://plass.mmseqs.com
proteins,A Python package to calculate, visualize and analyze correlation maps of proteins.
User: tekpinar
proteins,A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.
Organization: turtletools
Home Page: https://turtletools.github.io/geometricus/
proteins,A collection of resources for Deep Learning in Python for Life Sciences (with focus on biotech and pharma).
User: virtualramblas
proteins,Multi-Scale Representation Learning on Proteins (NeurIPS 2021)
User: vsomnath
Home Page: https://arxiv.org/abs/2204.02337
proteins,PDBench is a dataset and software package for evaluating fixed-backbone sequence design algorithms.
Organization: wells-wood-research
proteins,A Python API for the RCSB Protein Data Bank (PDB)
User: williamgilpin
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