CaLMPhosKAN: Prediction of General Phosphorylation Sites in Proteins via Fusion of Codon Aware Embeddings with Amino Acid Aware Embeddings and Wavelet …
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 …
codon alphabet, suggesting that codon space might harbor higher information content …
Protein feature engineering framework for AMPylation site prediction
AMPylation is a biologically significant yet understudied post-translational modification
where an adenosine monophosphate (AMP) group is added to Tyrosine and Threonine …
where an adenosine monophosphate (AMP) group is added to Tyrosine and Threonine …
LMCrot: an enhanced protein crotonylation site predictor by leveraging an interpretable window-level embedding from a transformer-based protein language model
Motivation Recent advancements in natural language processing have highlighted the
effectiveness of global contextualized representations from protein language models (pLMs) …
effectiveness of global contextualized representations from protein language models (pLMs) …
[HTML][HTML] Improving compound-protein interaction prediction by focusing on intra-modality and inter-modality dynamics with a multimodal tensor fusion strategy
M Wang, J Wang, J Ji, C Ma, H Wang, J He… - Computational and …, 2024 - Elsevier
Identifying novel compound–protein interactions (CPIs) plays a pivotal role in target
identification and drug discovery. Although the recent multimodal methods have achieved …
identification and drug discovery. Although the recent multimodal methods have achieved …
SumoPred-PLM: human SUMOylation and SUMO2/3 sites Prediction using Pre-trained Protein Language Model
AV Palacios, P Acharya, AS Peidl… - NAR Genomics and …, 2024 - academic.oup.com
SUMOylation is an essential post-translational modification system with the ability to
regulate nearly all aspects of cellular physiology. Three major paralogues SUMO1, SUMO2 …
regulate nearly all aspects of cellular physiology. Three major paralogues SUMO1, SUMO2 …
[HTML][HTML] The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep …
B Niu, B Lee, L Wang, W Chen, J Johnson - Antibodies, 2024 - mdpi.com
Therapeutic antibodies such as monoclonal antibodies (mAbs), bispecific and multispecific
antibodies are pivotal in therapeutic protein development and have transformed disease …
antibodies are pivotal in therapeutic protein development and have transformed disease …
Human O-linked Glycosylation Site Prediction Using Pretrained Protein Language Model
O-linked glycosylation of proteins is an essential post-translational modification process in
Homo sapiens, where the attachment of a sugar moiety occurs at the oxygen atom of serine …
Homo sapiens, where the attachment of a sugar moiety occurs at the oxygen atom of serine …
Dynamic Sampling-Based Meta-Learning Using Multilingual Acoustic Data for Under-Resourced Speech Recognition
IT Hsieh, CH Wu, ZH Zhao - IEEE Access, 2024 - ieeexplore.ieee.org
Under-resourced automatic speech recognition (ASR) has become an active field of
research and has experienced significant progress during the past decade. However, the …
research and has experienced significant progress during the past decade. However, the …
A study on experimental bias in post-translational modification predictors
J Zuallaert, P Ramasamy, R Bouwmeester… - bioRxiv, 2022 - biorxiv.org
Protein post-translational modifications (PTMs) play an important role in numerous
biological processes by significantly affecting protein structure and dynamics. Effective …
biological processes by significantly affecting protein structure and dynamics. Effective …