Topic: protein-language-model Goto Github
Some thing interesting about protein-language-model
Some thing interesting about protein-language-model
protein-language-model,pLM-informed E(3) equivariant deep graph neural networks for protein-nucleic acid binding site prediction
Organization: bhattacharya-lab
protein-language-model,Published in PLOS ONE. Phage-host interaction prediction tool that uses protein language models to represent the receptor-binding proteins of phages. It presents improvements over using handcrafted sequence properties and eliminates the need to manually extract and select features from phage sequences
Organization: bioinfodlsu
Home Page: https://doi.org/10.1371/journal.pone.0289030
protein-language-model,Searching proteins against a database of embeddings
User: biovino1
protein-language-model,Implementation of Abyssal, a deep neural network trained with a new "mega" dataset to predict the impact of an amino acid variant on protein stability.
User: dohlee
protein-language-model,An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.
User: dohlee
protein-language-model,An unofficial re-implementation of DeepAb, an interpretable deep learning model for antibody structure prediction.
User: dohlee
protein-language-model,Implementation of ProteinBERT, a deep language model designed for proteins.
User: dohlee
protein-language-model,
User: dzjxzyd
protein-language-model,In silico protein surgery using ESM.
User: elliothershberg
Home Page: https://mutationbrowser.com/
protein-language-model,Exploring Evolution-aware & free protein language models as protein function predictors
User: elttaes
protein-language-model,Latent-based Directed Evolution guided by Gradient Ascent for Protein Design
Organization: hysonlab
Home Page: https://www.biorxiv.org/content/10.1101/2024.04.13.589381v1
protein-language-model,AutoML system for building trustworthy peptide bioactivity predictors
Organization: ibm
Home Page: https://ibm.github.io/AutoPeptideML/
protein-language-model,ProtFlash: A lightweight protein language model
Organization: isyslab-hust
protein-language-model,Experimenting with protein language model predictions
User: jhrcook
protein-language-model,Protein Language Model (pLM) Powered Protein Crotonylation (Kcr) Modified Site Predictor
Organization: kclabmtu
Home Page: https://doi.org/10.1093/bioinformatics/btae290
protein-language-model,Improving Protein Succinylation Sites Prediction Using Features Extracted from Protein Language Model
Organization: kclabmtu
protein-language-model,An ensemble-based approach for prediction of protein S-nitrosylation sites integrating supervised word embedding and embedding from protein language model
Organization: kclabmtu
protein-language-model,Exploiting sequence representations derived from protein language models for repeat identification
User: kyqiu21
protein-language-model,Detection of remote homology by comparison of protein language model representations
Organization: labstructbioinf
Home Page: https://toolkit.tuebingen.mpg.de/tools/plmblast
protein-language-model,Spectral Framework For AI Model Evaluation
Organization: mims-harvard
Home Page: https://zitniklab.hms.harvard.edu/projects/SPECTRA/
protein-language-model,Nature Biotechnology: Ultra-fast, sensitive detection of protein remote homologs using deep dense retrieval
Organization: ml4bio
protein-language-model,Directed evolution of proteins in sequence space with gradients
Organization: nrel
Home Page: https://nrel.github.io/EvoProtGrad/
protein-language-model,Simple python interface for the OpenProtein.AI REST API.
Organization: openproteinai
Home Page: https://openprotein.ai
protein-language-model,Inference code for PoET: A generative model of protein families as sequences-of-sequences
Organization: openproteinai
protein-language-model,Protein language model trained on coding DNA
Organization: oxpig
protein-language-model,PaccMann models for protein language modeling
Organization: paccmann
protein-language-model,Exploring protein language models and machine learning algorithms for protein interactions predictive models
Organization: proteinengineering-pesb2
protein-language-model,cov2vec is a systematic effort to obtain SARS CoV-2 genome embeddings by encoding viral genomes with protein language models.
User: salvatoreloguercio
protein-language-model,Contains code for the paper "MaTPIP: a deep-learning architecture with eXplainable AI for sequence-driven, feature mixed protein-protein interaction prediction"
User: shubhrangshughosh2000
Home Page: https://doi.org/10.1016/j.cmpb.2023.107955
protein-language-model,MSAGPT
Organization: thudm
Home Page: https://arxiv.org/abs/2406.05347
protein-language-model,Protein Language Model
Organization: thudm
protein-language-model,Structure-aware adapter fine-tuning PLMs, with high training speed and impressive performance.
User: tyang816
protein-language-model,Deep Learning tool trained on protein sequence embeddings from protein language models to accurately detect remote homologues for CATH superfamilies
User: vam-sin
protein-language-model,ProTrek: Navigating the Protein Universe through Tri-Modal Contrastive Learning
Organization: westlake-repl
protein-language-model,[ICLR'24 spotlight] Saprot: Protein Language Model with Structural Alphabet
Organization: westlake-repl
protein-language-model,SaprotHub: Making Protein Modeling Accessible to All Biologists
Organization: westlake-repl
protein-language-model,Simple Contrastive Embedding of the Primary sequence of T cell Receptors
User: yutanagano
Home Page: https://sceptr.readthedocs.io
protein-language-model,Implementation of PocketGen: Generating Full-Atom Ligand-Binding Protein Pockets
User: zaixizhang
Home Page: https://zitniklab.hms.harvard.edu/projects/PocketGen/
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