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Pant, Kumud
- Support Vector Machine Approach for Isomerases Prediction Problem
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1 Maulana Azad National Institute of Technology, Bhopal, MP 462051, IN
1 Maulana Azad National Institute of Technology, Bhopal, MP 462051, IN
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Data Mining and Knowledge Engineering, Vol 2, No 5 (2010), Pagination: 89-94Abstract
As the proteinic enzyme sequences are entering the databases at a prodigious rate, the functional annotation of these sequences has become a major challenge in the field of Bioinformatics. The dispersion in the data makes this task even tougher. The authors illustrate in this paper a simple yet efficient way for functionally characterizing a novel enzyme by the application of support vector machines. The best accuracy gained by this method on generalization test is 91.55% with Mathew's Correlation Coefficient (MCC) of 0.63. The method was further validated by three different types of testing. The resulting accuracy for the LOO estimate was found to be 91.05% with MCC of 0.62 henceforth resolving any over fitting of data that may be present in the instance sets.Keywords
Isomerases, Support Vector Machine (SVM), Leave-One-Out Estimates, Amino Acid Composition.
- Mtb-HID:A Unified Database of Host–Pathogen Interaction for Various Mycobacterium tuberculosis Strains
Abstract Views :245 |
PDF Views:74
Authors
Affiliations
1 Department of Biotechnology, Graphic Era Deemed to be University, Dehradun 248 002, IN
1 Department of Biotechnology, Graphic Era Deemed to be University, Dehradun 248 002, IN
Source
Current Science, Vol 118, No 2 (2020), Pagination: 292-297Abstract
Databases developed till now for studying human– Mycobacterium tuberculosis (MTB) host–pathogen interactions are scarce and pertain to specific strains of pathogen. Therefore, in the present study, a database (Mtb-HID) has been developed to serve as a unified host–pathogen interaction platform with information on interaction between various strains of MTB and humans. Mtb-HID is different from other databases since it houses information about multiple strains and is an extensive integrated repository of experimental host–pathogen protein–protein interaction (HP-PPIs) data imported from various public databases and derived from interolog-based HP-PPIs. Currently, Mtb-HID hosts records of interaction between five MTB strains and human host. It is freely accessible at http://www.pantlab.co.in/mtb-hid/.Keywords
Database, Host–Pathogen Interaction, Humans, Mycobacterium tuberculosis.Full Text
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