Protein-protein interaction modulators: advances, successes and remaining challenges

L Mabonga, AP Kappo - Biophysical reviews, 2019 - Springer
Modulating disease-relevant protein-protein interactions (PPIs) using small-molecule
inhibitors is a quite indispensable diagnostic and therapeutic strategy in averting …

CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning

X Qiang, C Zhou, X Ye, P Du, R Su… - Briefings in …, 2020 - academic.oup.com
Cell-penetrating peptides (CPPs) have been shown to be a transport vehicle for delivering
cargoes into live cells, offering great potential as future therapeutics. It is essential to identify …

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 …

A random forest sub-Golgi protein classifier optimized via dipeptide and amino acid composition features

Z Lv, S Jin, H Ding, Q Zou - Frontiers in bioengineering and …, 2019 - frontiersin.org
To gain insight into the malfunction of the Golgi apparatus and its relationship to various
genetic and neurodegenerative diseases, the identification of sub-Golgi proteins, both cis …

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 …

Regional soil organic matter mapping models based on the optimal time window, feature selection algorithm and Google Earth Engine

C Luo, X Zhang, Y Wang, Z Men, H Liu - Soil and Tillage Research, 2022 - Elsevier
The spatial distribution of soil organic matter (SOM) is highly significant to the assessment of
the regional carbon balance, food security and cultivated land quality. Due to climate …

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 …

RFAmyloid: a web server for predicting amyloid proteins

M Niu, Y Li, C Wang, K Han - International journal of molecular sciences, 2018 - mdpi.com
Amyloid is an insoluble fibrous protein and its mis-aggregation can lead to some diseases,
such as Alzheimer's disease and Creutzfeldt–Jakob's disease. Therefore, the identification …

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 …

Predicting duration of traffic accidents based on cost-sensitive Bayesian network and weighted K-nearest neighbor

L Kuang, H Yan, Y Zhu, S Tu, X Fan - Journal of Intelligent …, 2019 - Taylor & Francis
With the development of urbanization, road congestion has become increasingly serious,
and an important cause is the traffic accidents. In this article, we aim to predict the duration of …