[HTML][HTML] dPromoter-XGBoost: Detecting promoters and strength by combining multiple descriptors and feature selection using XGBoost
H Li, L Shi, W Gao, Z Zhang, L Zhang, Y Zhao, G Wang - Methods, 2022 - Elsevier
Promoters play an irreplaceable role in biological processes and genetics, which are
responsible for stimulating the transcription and expression of specific genes. Promoter …
responsible for stimulating the transcription and expression of specific genes. Promoter …
Protein function analysis through machine learning
Machine learning (ML) has been an important arsenal in computational biology used to
elucidate protein function for decades. With the recent burgeoning of novel ML methods and …
elucidate protein function for decades. With the recent burgeoning of novel ML methods and …
[HTML][HTML] Computational analysis and prediction of PE_PGRS proteins using machine learning
Mycobacterium tuberculosis genome comprises approximately 10% of two families of poorly
characterised genes due to their high GC content and highly repetitive nature. The largest …
characterised genes due to their high GC content and highly repetitive nature. The largest …
BBPpredict: a web service for identifying blood-brain barrier penetrating peptides
X Chen, Q Zhang, B Li, C Lu, S Yang, J Long… - Frontiers in …, 2022 - frontiersin.org
Blood-brain barrier (BBB) is a major barrier to drug delivery into the brain in the treatment of
central nervous system (CNS) diseases. Blood-brain barrier penetrating peptides (BBPs), a …
central nervous system (CNS) diseases. Blood-brain barrier penetrating peptides (BBPs), a …
Handcrafted versus non-handcrafted (self-supervised) features for the classification of antimicrobial peptides: complementary or redundant?
CR García-Jacas, LA García-González… - Briefings in …, 2022 - academic.oup.com
Antimicrobial peptides (AMPs) have received a great deal of attention given their potential to
become a plausible option to fight multi-drug resistant bacteria as well as other pathogens …
become a plausible option to fight multi-drug resistant bacteria as well as other pathogens …
ExamPle: explainable deep learning framework for the prediction of plant small secreted peptides
Abstract Motivation Plant Small Secreted Peptides (SSPs) play an important role in plant
growth, development, and plant–microbe interactions. Therefore, the identification of SSPs is …
growth, development, and plant–microbe interactions. Therefore, the identification of SSPs is …
Application of artificial intelligence for detection of chemico-biological interactions associated with oxidative stress and DNA damage
LM Davidovic, D Laketic, J Cumic, E Jordanova… - Chemico-Biological …, 2021 - Elsevier
In recent years, various AI-based methods have been developed in order to uncover
chemico-biological interactions associated with DNA damage and oxidative stress. Various …
chemico-biological interactions associated with DNA damage and oxidative stress. Various …
6mA-RicePred: A Method for Identifying DNA N 6-Methyladenine Sites in the Rice Genome Based on Feature Fusion
Motivation The biological function of N 6-methyladenine DNA (6mA) in plants is largely
unknown. Rice is one of the most important crops worldwide and is a model species for …
unknown. Rice is one of the most important crops worldwide and is a model species for …
PredLLPS_PSSM: a novel predictor for liquid–liquid protein separation identification based on evolutionary information and a deep neural network
S Zhou, Y Zhou, T Liu, J Zheng… - Briefings in …, 2023 - academic.oup.com
The formation of biomolecular condensates by liquid–liquid phase separation (LLPS) has
become a universal mechanism for spatiotemporal coordination of biological activities in …
become a universal mechanism for spatiotemporal coordination of biological activities in …
Multifactorial feature extraction and site prognosis model for protein methylation data
Integrated studies (multi-omics studies) comprising genetic, proteomic and epigenetic data
analyses have become an emerging topic in biomedical research. Protein methylation is a …
analyses have become an emerging topic in biomedical research. Protein methylation is a …