Patel, S., Tripathi, R., Kumari, V., and Varadwaj, P. (2017). DeepInteract: deep neural network based protein-protein interaction prediction tool. Curr. Bioinform. 12, 551-557. doi: 10.2174/1574893611666160815 150746Deep neural network based protein-protein interaction extraction from biomedical...
In a Fold and Dock approach, two proteins are folded and docked simultaneously. We recently developed a Fold and Dock pipeline using another distance prediction method focused on protein folding (trRosetta23). In this pipeline, the interaction between two chains from a heterodimeric protein complex ...
Proteins are the essential biological macromolecules required to perform nearly all biological processes, and cellular functions. Proteins rarely carry out their tasks in isolation but interact with other proteins (known as protein–protein interaction)
interaction. Those are employed to detect the alteration in structure and/or dynamics of bound and unbound forms. NMR is used for determination of the structural dynamics of the protein-ligand complex[53]therefore it is a power tool for investigation of entropic involvement to binding free energy...
protein interaction prediction based on a majority voting method. The model uses four well-established machine learning methods: support vector machines, random forests, decision trees, and naive Bayes. In the cross-validation experiment, the ensemble learning method achieved over 80% sensitivity and ...
Structural insight of the protein–protein interaction (PPI) interface can provide knowledge about the kinetics, thermodynamics and molecular functions of the complex while elucidating its role in diseases and further enabling it as a potential therapeut
Prediction of protein-protein interaction sites in sequences and 3D structures by random forests. PLoS Comput Biol. 2009;5(1): e1000278. Article PubMed PubMed Central CAS Google Scholar Yan C, Dobbs D, Honavar V. A two-stage classifier for identification of protein-protein interface residues...
26 Moreover, there is another hot task, drug–target interaction (DTI) prediction,27, 28, 29, 30, 31 which is similar to CPI prediction. Although both are essentially interactions between chemical compounds and proteins, their predictions are significantly different as follows. First, in terms ...
Thecomputational toolis called PIONEER (Protein-protein InteractiOn iNtErfacE pRediction). Researchers demonstrated PIONEER's utility by identifyingpotential drug targetsfor dozens of cancers and other complex diseases in a recently publishedNature Biotechnologyarticle. Genomic research is key indrug discovery,...
Protein-protein interaction (PPI) is essential to most biological processes. Abnormal interactions may have implications in a number of neurological syndromes. Given that the association and dissociation of protein molecules is crucial, computational too