Incorporating multiple biology based knowledge to amplify the prophecy of enzyme sub-functional classes

Incorporating multiple biology based knowledge to amplify the prophecy of enzyme sub-functional classes

Based on current in silico methods, enzyme sub-functional classes is distinguished from sequence level information, local order or sequence length and order knowledge. To date, no work has been done to predict the enzyme subclasses efficiently corresponding to the ENZYME database. In order to precis...

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Bibliographic Details
Main Authors: Guramads, S. K., Hassan, R., Othman, R. M., Asmuni, H., Kasim, S.
Format: Article
Published: Insight Society 2017
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/76365/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029511702&doi=10.18517%2fijaseit.7.4.2346&partnerID=40&md5=5e9948c8a0d54a25d458c19297c1b4f8
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Institution: Universiti Teknologi Malaysia

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http://eprints.utm.my/id/eprint/76365/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029511702&doi=10.18517%2fijaseit.7.4.2346&partnerID=40&md5=5e9948c8a0d54a25d458c19297c1b4f8

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