Systematic comparison of the protein-protein interaction databases from a user's perspective

Publication date: Available online 28 January 2020Source: Journal of Biomedical InformaticsAuthor(s): Akhilesh Kumar Bajpai, Sravanthi Davuluri, Kriti Tiwary, Sithalechumi Narayanan, Sailaja Oguru, Kavyashree Basavaraju, Deena Dayalan, Kavitha Thirumurugan, Kshitish K. AcharyaAbstractIn absence of periodic systematic comparisons, biologists/bioinformaticians may be forced to make a subjective selection among the many protein-protein interaction (PPI) databases and tools. We conducted a comprehensive compilation and comparison of such resources. We compiled 375 PPI resources, short-listed 125 important ones (both lists are available at startbioinfo.com), and compared the features and coverage of 16 carefully-selected databases related to human PPIs. We quantitatively compared the coverage of 'experimentally verified' as well as 'total' (experimentally verified as well as predicted) PPIs for these 16 databases. Coverage was compared in two ways: (a) PPIs obtained in response to gene queries using the web interfaces were compared. As a query set, 108 genes expressed differently across tissues (specific to kidney, testis, and uterus, and ubiquitous - i.e., expressed in 43 human normal tissues) or associated with certain diseases (breast cancer, lung cancer, Alzheimer’s, cystic fibrosis, diabetes, and cardiomyopathy) were chosen. The coverage was also compared for the well-studied genes versus the less-studied ones. The coverage of the databases for high-quality interactions was...

Source: Journal of Biomedical Informatics - January 28, 2020 Category: Information Technology Source Type: research