PSORTdb 4.0: expanded and redesigned bacterial and archaeal protein subcellular localization database incorporating new secondary localizations
… to as prokaryotes), PSORTb, is one of the … bacterial SCL predictor since it was first made
available in 2003 (5–7). Since the PSORTb 3.0 update, this predictor is capable of predicting …
available in 2003 (5–7). Since the PSORTb 3.0 update, this predictor is capable of predicting …
PSORTm: a bacterial and archaeal protein subcellular localization prediction tool for metagenomics data
… We have developed PSORTm, a novel SCL prediction tool derived from PSORTb 3.0.2, with
… However, certain categories of localization benefited much more from increased fragment …
… However, certain categories of localization benefited much more from increased fragment …
PSORTdb: expanding the bacteria and archaea protein subcellular localization database to better reflect diversity in cell envelope structures
… version included only predictions for Gram-positive and Gram-negative bacteria, but … 2.0
published in 2011 (22) expanded to include all predictions made by a new version of PSORTb …
published in 2011 (22) expanded to include all predictions made by a new version of PSORTb …
Predicting subcellular localization of proteins by bioinformatic algorithms
H Nielsen - … Sugar Export and Assembly in Gram-positive Bacteria, 2017 - Springer
… The SCLs predicted by PSORTb 3 extend beyond the standard four categories for Gram-…
2.0: expanded prediction of bacterial protein subcellular localization and insights gained from …
2.0: expanded prediction of bacterial protein subcellular localization and insights gained from …
Predicting the subcellular location of prokaryotic proteins with DeepLocPro
… proteins and it can provide valuable insights … predictions outperform PSORTb 3.0 on all but
one metric, showing a strong improvement in the performance especially for bacterial proteins…
one metric, showing a strong improvement in the performance especially for bacterial proteins…
Tools for the recognition of sorting signals and the prediction of subcellular localization of proteins from their amino acid sequences
… According to the assessment shown in the review, PSORTb was the best predictor at …
subcellular localization as well as systematic outputs of PSORTb applied to thousands of bacterial …
subcellular localization as well as systematic outputs of PSORTb applied to thousands of bacterial …
Prediction of protein subcellular localization using deep learning and data augmentation
MG Eftekhar - Biorxiv, 2020 - biorxiv.org
… valuable insights that can be of tremendous help to protein’s … In this study with an effort to
increase the PSORTb’s overall … the number of protein sequences in a class was increased by …
increase the PSORTb’s overall … the number of protein sequences in a class was increased by …
mtx-COBRA: Subcellular localization prediction for bacterial proteins
… show that our pipeline predicts the SCL of bacterial proteins more accurately than PSORTb.
… [23,47], our method can expand the repertoire of bacterial protein targets with known SCL to …
… [23,47], our method can expand the repertoire of bacterial protein targets with known SCL to …
Protein Language Model for Prediction of Subcellular Localization of Protein Sequences from Gram-negative bacteria (ProtLM. SCL)
… enhanced performance of ProtLM.SCL, we overcame key coverage limitation for PSORTb,
which classifies numerous proteins … on protein sequences predicted as ‘Unknown’ by PSORTb…
which classifies numerous proteins … on protein sequences predicted as ‘Unknown’ by PSORTb…
PSO‐LocBact: A Consensus Method for Optimizing Multiple Classifier Results for Predicting the Subcellular Localization of Bacterial Proteins
S Lertampaiporn, S Nuannimnoi… - BioMed Research …, 2019 - Wiley Online Library
… in protein function annotation, providing useful insights into … -positive bacterial proteins
consisted of CELLO, PSORTb 3.0, … PSO-based method yields increased prediction accuracies for …
consisted of CELLO, PSORTb 3.0, … PSO-based method yields increased prediction accuracies for …