Leveraging transformers‐based language models in proteome bioinformatics
NQK Le - Proteomics, 2023 - Wiley Online Library
In recent years, the rapid growth of biological data has increased interest in using
bioinformatics to analyze and interpret this data. Proteomics, which studies the structure …
bioinformatics to analyze and interpret this data. Proteomics, which studies the structure …
UniDL4BioPep: a universal deep learning architecture for binary classification in peptide bioactivity
Identification of potent peptides through model prediction can reduce benchwork in wet
experiments. However, the conventional process of model buildings can be complex and …
experiments. However, the conventional process of model buildings can be complex and …
D eepafp: an effective computational framework for identifying antifungal peptides based on deep learning
Fungal infections have become a significant global health issue, affecting millions
worldwide. Antifungal peptides (AFPs) have emerged as a promising alternative to …
worldwide. Antifungal peptides (AFPs) have emerged as a promising alternative to …
AI Methods for Antimicrobial Peptides: Progress and Challenges
Antimicrobial peptides (AMPs) are promising candidates to combat multidrug‐resistant
pathogens. However, the high cost of extensive wet‐lab screening has made AI methods for …
pathogens. However, the high cost of extensive wet‐lab screening has made AI methods for …
Gr-m6a: prediction of n6-methyladenosine sites in mammals with molecular graph and residual network
S Qiu, R Liu, Y Liang - Computers in Biology and Medicine, 2023 - Elsevier
Abstract RNA N6-methyladenine (m6A), which is produced by the methylation of the N6
position of eukaryotic adenine, is a relatively common post-transcriptional modification on …
position of eukaryotic adenine, is a relatively common post-transcriptional modification on …
iAMP-Attenpred: a novel antimicrobial peptide predictor based on BERT feature extraction method and CNN-BiLSTM-Attention combination model
W Xing, J Zhang, C Li, Y Huo… - Briefings in …, 2024 - academic.oup.com
As a kind of small molecule protein that can fight against various microorganisms in nature,
antimicrobial peptides (AMPs) play an indispensable role in maintaining the health of …
antimicrobial peptides (AMPs) play an indispensable role in maintaining the health of …
dbAMP 3.0: updated resource of antimicrobial activity and structural annotation of peptides in the post-pandemic era
Antimicrobial resistance is one of the most urgent global health threats, especially in the post-
pandemic era. Antimicrobial peptides (AMPs) offer a promising alternative to traditional …
pandemic era. Antimicrobial peptides (AMPs) offer a promising alternative to traditional …
Multi-label classification and features investigation of antimicrobial peptides with various functional classes
The challenge of drug-resistant bacteria to global public health has led to increased
attention on antimicrobial peptides (AMPs) as a targeted therapeutic alternative with a lower …
attention on antimicrobial peptides (AMPs) as a targeted therapeutic alternative with a lower …
deep-AMPpred: A Deep Learning Method for Identifying Antimicrobial Peptides and Their Functional Activities
J Zhao, H Liu, L Kang, W Gao, Q Lu… - Journal of Chemical …, 2025 - ACS Publications
Antimicrobial peptides (AMPs) are small peptides that play an important role in disease
defense. As the problem of pathogen resistance caused by the misuse of antibiotics …
defense. As the problem of pathogen resistance caused by the misuse of antibiotics …
Diff-AMP: tailored designed antimicrobial peptide framework with all-in-one generation, identification, prediction and optimization
Antimicrobial peptides (AMPs), short peptides with diverse functions, effectively target and
combat various organisms. The widespread misuse of chemical antibiotics has led to …
combat various organisms. The widespread misuse of chemical antibiotics has led to …