Protein phosphorylation database and prediction tools

MX Zhao, Q Chen, F Li, S Fu, B Huang… - Briefings in …, 2023 - academic.oup.com
Protein phosphorylation, one of the main protein post-translational modifications, is required
for regulating various life activities. Kinases and phosphatases that regulate protein …

DeepIPs: comprehensive assessment and computational identification of phosphorylation sites of SARS-CoV-2 infection using a deep learning-based approach

H Lv, FY Dao, H Zulfiqar, H Lin - Briefings in Bioinformatics, 2021 - academic.oup.com
The rapid spread of SARS-CoV-2 infection around the globe has caused a massive health
and socioeconomic crisis. Identification of phosphorylation sites is an important step for …

Deep learning in phosphoproteomics: methods and application in cancer drug discovery

N Varshney, AK Mishra - Proteomes, 2023 - mdpi.com
Protein phosphorylation is a key post-translational modification (PTM) that is a central
regulatory mechanism of many cellular signaling pathways. Several protein kinases and …

LMPhosSite: a deep learning-based approach for general protein phosphorylation site prediction using embeddings from the local window sequence and pretrained …

SC Pakhrin, S Pokharel, P Pratyush… - Journal of proteome …, 2023 - ACS Publications
Phosphorylation is one of the most important post-translational modifications and plays a
pivotal role in various cellular processes. Although there exist several computational tools to …

DE-MHAIPs: Identification of SARS-CoV-2 phosphorylation sites based on differential evolution multi-feature learning and multi-head attention mechanism

M Wang, L Yan, J Jia, J Lai, H Zhou, B Yu - Computers in Biology and …, 2023 - Elsevier
The rapid spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) around
the world affects the normal lives of people all over the world. The computational methods …

Deep Learning–Based Advances In Protein Posttranslational Modification Site and Protein Cleavage Prediction

SC Pakhrin, S Pokharel, H Saigo, DB Kc - Computational Methods for …, 2022 - Springer
Posttranslational modification (PTM) is a ubiquitous phenomenon in both eukaryotes and
prokaryotes which gives rise to enormous proteomic diversity. PTM mostly comes in two …

A structure-based b-cell epitope prediction model through combing local and global features

S Lu, Y Li, Q Ma, X Nan, S Zhang - Frontiers in immunology, 2022 - frontiersin.org
B-cell epitopes (BCEs) are a set of specific sites on the surface of an antigen that binds to an
antibody produced by B-cell. The recognition of BCEs is a major challenge for drug design …

CaLMPhosKAN: Prediction of General Phosphorylation Sites in Proteins via Fusion of Codon Aware Embeddings with Amino Acid Aware Embeddings and Wavelet …

P Pratyush, C Carrier, S Pokharel, HD Ismail… - bioRxiv, 2024 - biorxiv.org
The mapping from codon to amino acid is surjective due to the high degeneracy of the
codon alphabet, suggesting that codon space might harbor higher information content …

Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites

S Jiao, X Ye, C Ao, T Sakurai, Q Zou, L Xu - Bioinformatics, 2023 - academic.oup.com
Motivation The rapid and extensive transmission of the severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2) has led to an unprecedented global health emergency …

DTL-DephosSite: Deep transfer learning based approach to predict dephosphorylation sites

M Chaudhari, N Thapa, H Ismail, S Chopade… - Frontiers in cell and …, 2021 - frontiersin.org
Phosphorylation, which is mediated by protein kinases and opposed by protein
phosphatases, is an important post-translational modification that regulates many cellular …