Machine intelligence in peptide therapeutics: A next‐generation tool for rapid disease screening

S Basith, B Manavalan, T Hwan Shin… - Medicinal research …, 2020 - Wiley Online Library
Discovery and development of biopeptides are time‐consuming, laborious, and dependent
on various factors. Data‐driven computational methods, especially machine learning (ML) …

[HTML][HTML] Artificial intelligence: the milestone in modern biomedical research

K Athanasopoulou, GN Daneva, PG Adamopoulos… - …, 2022 - mdpi.com
In recent years, the advent of new experimental methodologies for studying the high
complexity of the human genome and proteome has led to the generation of an increasing …

[HTML][HTML] M6APred-EL: a sequence-based predictor for identifying N6-methyladenosine sites using ensemble learning

L Wei, H Chen, R Su - Molecular Therapy-Nucleic Acids, 2018 - cell.com
N6-methyladenosine (m 6 A) modification is the most abundant RNA methylation
modification and involves various biological processes, such as RNA splicing and …

Developing a multi-dose computational model for drug-induced hepatotoxicity prediction based on toxicogenomics data

R Su, H Wu, B Xu, X Liu, L Wei - IEEE/ACM Transactions on …, 2018 - ieeexplore.ieee.org
Drug-induced hepatotoxicity may cause acute and chronic liver disease, leading to great
concern for patient safety. It is also one of the main reasons for drug withdrawal from the …

[HTML][HTML] Unifying structural descriptors for biological and bioinspired nanoscale complexes

M Cha, EST Emre, X Xiao, JY Kim, P Bogdan… - Nature Computational …, 2022 - nature.com
Biomimetic nanoparticles are known to serve as nanoscale adjuvants, enzyme mimics and
amyloid fibrillation inhibitors. Their further development requires better understanding of …

[HTML][HTML] PredT4SE-stack: prediction of bacterial type IV secreted effectors from protein sequences using a stacked ensemble method

Y Xiong, Q Wang, J Yang, X Zhu, DQ Wei - Frontiers in Microbiology, 2018 - frontiersin.org
Gram-negative bacteria use various secretion systems to deliver their secreted effectors.
Among them, type IV secretion system exists widely in a variety of bacterial species, and …

[HTML][HTML] 4mCpred-EL: An Ensemble Learning Framework for Identification of DNA N4-Methylcytosine Sites in the Mouse Genome

B Manavalan, S Basith, TH Shin, DY Lee, L Wei, G Lee - Cells, 2019 - mdpi.com
DNA N 4-methylcytosine (4mC) is one of the key epigenetic alterations, playing essential
roles in DNA replication, differentiation, cell cycle, and gene expression. To better …

[HTML][HTML] PseUI: Pseudouridine sites identification based on RNA sequence information

J He, T Fang, Z Zhang, B Huang, X Zhu, Y Xiong - BMC bioinformatics, 2018 - Springer
Background Pseudouridylation is the most prevalent type of posttranscriptional modification
in various stable RNAs of all organisms, which significantly affects many cellular processes …

[HTML][HTML] Enhanced prediction of hot spots at protein-protein interfaces using extreme gradient boosting

H Wang, C Liu, L Deng - Scientific reports, 2018 - nature.com
Identification of hot spots, a small portion of protein-protein interface residues that contribute
the majority of the binding free energy, can provide crucial information for understanding the …

[HTML][HTML] Machine learning approaches for protein–protein interaction hot spot prediction: Progress and comparative assessment

S Liu, C Liu, L Deng - Molecules, 2018 - mdpi.com
Hot spots are the subset of interface residues that account for most of the binding free
energy, and they play essential roles in the stability of protein binding. Effectively identifying …