Protein function prediction is one of the key challenges in modern biology and bioinformatics as it enables better understanding of the roles and interactions of proteins within living systems. Accurate functional descriptions of proteins are necessary for tasks such as identification of drug targets, un...
Bioinformatics methods to predict protein structure and functionMolecular modelingProtein structure prediction by using bioinformatics can involve sequence similarity searches, multiple sequence alignments, identification and characterization of domains, secondary structure prediction, solvent accessibility prediction, ...
protein function prediction and each existing method has its own limitations, the trend of this research area is to combine available data sources and techniques to more effectively predict functions. The combination is in terms of data source integration, model/method integration or both. This ...
GOLabeler: improving sequence-based large-scale protein function prediction by learning to rank. Bioinformatics 34, 2465–2473 (2018). Article Google Scholar You, R. et al. NetGO: improving large-scale protein function prediction with massive network information. Nucleic Acids Res. 47, W379–W...
Leveraging the underlying associations between the multiplicity of features that describe proteins could reveal functional insights into the diverse roles of proteins and improve performance on the automatic function prediction task. Results We present GO-LTR, a multi-view multi-label prediction model ...
Annotating proteins with biological functions is one of the main goals in post genomic era. Various high-throughout technologies, e.g., yeast two-hybrid systems and microarray, have provided an alternative way to protein function prediction. Despite the success obtained by high-throughout data, th...
An iterative approach of protein function prediction Background Current approaches of predicting protein functions from a protein-protein interaction (PPI) dataset are based on an assumption that the availabl... X Chi,J Hou - 《Bmc Bioinformatics》 被引量: 55发表: 2011年 Large-Scale Prediction of...
DTI, Drug Property, PPI, DDI, Protein Function Prediction Applications in Drug Repurposing, Virtual Screening, QSAR, Side Effect Prediction and More This repository hosts DeepPurpose, a Deep Learning Based Molecular Modeling and Prediction Toolkit on Drug-Target Interaction Prediction, Compound Property ...
Protein function prediction based on data fusion and functional interrelationship One of the challenging tasks of bioinformatics is to predict more accurate and confident protein functions from genomics and proteomics datasets. Computati... J Meng,JS Wekesa,GL Shi,... - 《Mathematical Biosciences》 被...
Conservation and prediction of solvent accessibility in protein families Currently, the prediction of three-dimensional (3D) protein structure from sequence alone is an exceedingly difficult task. As an intermediate step, a much... B Rost,C Sander - 《Proteins Structure Function & Bioinformatics》 被...