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 …
energy, and they play essential roles in the stability of protein binding. Effectively identifying …
Determining protein–protein interaction using support vector machine: A review
Protein-Protein Interaction (PPI) is a network of protein interconnections which regulates
most of the biological methods. A sound state of biota largely depends on synchronized …
most of the biological methods. A sound state of biota largely depends on synchronized …
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 …
the majority of the binding free energy, can provide crucial information for understanding the …
Efficient classification of hot spots and hub protein interfaces by recursive feature elimination and gradient boosting
X Lin, X Zhang, X Xu - IEEE/ACM Transactions on …, 2019 - ieeexplore.ieee.org
Proteins are not isolated biological molecules, which have the specific three-dimensional
structures and interact with other proteins to perform functions. A small number of residues …
structures and interact with other proteins to perform functions. A small number of residues …
Identification of small-molecule inhibitors of fibroblast growth factor 23 signaling via in silico hot spot prediction and molecular docking to α-Klotho
Fibroblast growth factor 23 (FGF23) is a therapeutic target for treating hereditary and
acquired hypophosphatemic disorders, such as X-linked hypophosphatemic (XLH) rickets …
acquired hypophosphatemic disorders, such as X-linked hypophosphatemic (XLH) rickets …
Prediction of hot spots in protein–DNA binding interfaces based on supervised isometric feature mapping and extreme gradient boosting
K Li, S Zhang, D Yan, Y Bin, J Xia - BMC bioinformatics, 2020 - Springer
Background Identification of hot spots in protein-DNA interfaces provides crucial information
for the research on protein-DNA interaction and drug design. As experimental methods for …
for the research on protein-DNA interaction and drug design. As experimental methods for …
Hot spot prediction in protein-protein interactions by an ensemble system
Background Hot spot residues are functional sites in protein interaction interfaces. The
identification of hot spot residues is time-consuming and laborious using experimental …
identification of hot spot residues is time-consuming and laborious using experimental …
Prediction of quaternary structure by analysis of hot spot residues in protein‐protein interfaces: The case of anthranilate phosphoribosyltransferases
S Schlee, K Straub, T Schwab… - Proteins: Structure …, 2019 - Wiley Online Library
It is an important goal of computational biology to correctly predict the association state of a
protein based on its amino acid sequence and the structures of known homologues. We …
protein based on its amino acid sequence and the structures of known homologues. We …
Efficiently predicting hot spots in PPIs by combining random forest and synthetic minority over-sampling technique
X Zhang, X Lin, J Zhao, Q Huang… - IEEE/ACM Transactions …, 2018 - ieeexplore.ieee.org
Hot spot residues bring into play the vital function in bioinformatics to find new medications
such as drug design. However, current datasets are predominately composed of non-hot …
such as drug design. However, current datasets are predominately composed of non-hot …
Moonlighting protein prediction using physico-chemical and evolutional properties via machine learning methods
F Shirafkan, S Gharaghani, K Rahimian, RH Sajedi… - BMC …, 2021 - Springer
Abstract Background Moonlighting proteins (MPs) are a subclass of multifunctional proteins
in which more than one independent or usually distinct function occurs in a single …
in which more than one independent or usually distinct function occurs in a single …