Positive-unlabeled learning in bioinformatics and computational biology: a brief review
Conventional supervised binary classification algorithms have been widely applied to
address significant research questions using biological and biomedical data. This …
address significant research questions using biological and biomedical data. This …
Prediction of anticancer peptides based on an ensemble model of deep learning and machine learning using ordinal positional encoding
Q Yuan, K Chen, Y Yu, NQK Le… - Briefings in …, 2023 - academic.oup.com
Anticancer peptides (ACPs) are the types of peptides that have been demonstrated to have
anticancer activities. Using ACPs to prevent cancer could be a viable alternative to …
anticancer activities. Using ACPs to prevent cancer could be a viable alternative to …
[HTML][HTML] Mini-review: recent advances in post-translational modification site prediction based on deep learning
Post-translational modifications (PTMs) are closely linked to numerous diseases, playing a
significant role in regulating protein structures, activities, and functions. Therefore, the …
significant role in regulating protein structures, activities, and functions. Therefore, the …
Deepm5C: a deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy
As one of the most prevalent post-transcriptional epigenetic modifications, N5-
methylcytosine (m5C) plays an essential role in various cellular processes and disease …
methylcytosine (m5C) plays an essential role in various cellular processes and disease …
Alterations of the gut microbiota in patients with severe chronic heart failure
W Sun, D Du, T Fu, Y Han, P Li, H Ju - Frontiers in microbiology, 2022 - frontiersin.org
Chronic heart failure (CHF) is the final outcome of almost all forms of cardiovascular
diseases, remaining the main cause of mortality worldwide. Accumulating evidence is …
diseases, remaining the main cause of mortality worldwide. Accumulating evidence is …
Deep-STP: a deep learning-based approach to predict snake toxin proteins by using word embeddings
H Zulfiqar, Z Guo, RM Ahmad, Z Ahmed, P Cai… - Frontiers in …, 2024 - frontiersin.org
Snake venom contains many toxic proteins that can destroy the circulatory system or
nervous system of prey. Studies have found that these snake venom proteins have the …
nervous system of prey. Studies have found that these snake venom proteins have the …
StackedEnC-AOP: prediction of antioxidant proteins using transform evolutionary and sequential features based multi-scale vector with stacked ensemble learning
Background Antioxidant proteins are involved in several biological processes and can
protect DNA and cells from the damage of free radicals. These proteins regulate the body's …
protect DNA and cells from the damage of free radicals. These proteins regulate the body's …
iRNA-ac4C: a novel computational method for effectively detecting N4-acetylcytidine sites in human mRNA
W Su, XQ Xie, XW Liu, D Gao, CY Ma, H Zulfiqar… - International Journal of …, 2023 - Elsevier
Abstract RNA N4-acetylcytidine (ac4C) is the acetylation of cytidine at the nitrogen-4
position, which is a highly conserved RNA modification and involves a variety of biological …
position, which is a highly conserved RNA modification and involves a variety of biological …
iACVP: markedly enhanced identification of anti-coronavirus peptides using a dataset-specific word2vec model
H Kurata, S Tsukiyama… - Briefings in bioinformatics, 2022 - academic.oup.com
The COVID-19 pandemic caused several million deaths worldwide. Development of anti-
coronavirus drugs is thus urgent. Unlike conventional non-peptide drugs, antiviral peptide …
coronavirus drugs is thus urgent. Unlike conventional non-peptide drugs, antiviral peptide …
NmRF: identification of multispecies RNA 2'-O-methylation modification sites from RNA sequences
C Ao, Q Zou, L Yu - Briefings in bioinformatics, 2022 - academic.oup.com
O-methylation (Nm) is a post-transcriptional modification of RNA that is catalyzed by 2'-O-
methyltransferase and involves replacing the H on the 2′-hydroxyl group with a methyl …
methyltransferase and involves replacing the H on the 2′-hydroxyl group with a methyl …