Combining Artificial Neural Networks and GOR-V Information Theory to Predict Protein Secondary Structure from Amino Acid Sequences

Saad Osman Abdalla Subair; Safaai Deris

doi:10.4018/jiit.2005100104

10% Discount on All E-Books through IGI Global’s Online Bookstore Extended(10% discount on all e-books cannot be combined with most offers. Discount is valid on purchases made directly through IGI Global Online Bookstore (www.igi-global.com)
and may not be utilized by booksellers and distributors. Offer does not apply to e-Collections and exclusions of select titles may apply. Offer expires December 31, 2022.)Browse Titles

Special Offers
- 10% Discount on All E-Books through IGI Global’s Online Bookstore
  With the continued paper shortages and supply chain issues, we have been informed by our partners that there will be substantial delays in printing and shipping publications, especially as we approach the holiday season. To help incentive the electronic format and streamline access to the latest research, we are offering a 10% discount on all our e-books through IGI Global’s Online Bookstore. Hosted on the InfoSci^® platform, these titles feature no DRM, no additional cost for multi-user licensing, no embargo of content, full-text PDF & HTML format, and more.
  Browse Titles
- IGI Global to Convert an Additional 30 Journals to Full Gold Open Access for the 2022 Volume Year
  IGI Global is to convert an additional 30 journals to full gold open access (OA) for their 2022 volume year, which will expand their OA collection to contain 60 gold open access and one (1) platinum open access journal.
  Learn More
- All IGI Global Scholarly Journals Shift to "Digital Preferred" Format
  In response to the overwhelming demand for electronic content coupled with the mission to decrease the overall environmental impacts of print production and distribution, all IGI Global journals will shift into a digital preferred model for the 2022 volume year. Under this model, journals will become primarily available under electronic format and articles will be immediately available upon acceptance. Print subscriptions and print + electronic subscriptions will still be available, but for the print version, all articles that are published during the volume year will become available at the end of the year in a single (1) printed volume.
  Learn More
- IGI Global’s New DEI e-Book Collection
  Acquire Over 320+ E-Books on Diversity, Equity, and Inclusivity from a publisher that has been dedicated to DEI since its inception over 30 years ago. Now, benefit from a collection of all of our DEI e-Books at a 90% Discount.
  Learn More
- Offering a 5% Pre-Publication Discount on
  All Reference Books Ordered Through IGI Global’s Online Bookstore*
  To support customers with accessing the latest research, IGI Global is offering a 5% pre-publication discount on all hardcover, softcover, e-books, and hardcover + e-books titles.
  *5% discount offer is eligible on hardcover, softcover, e-books, and hardcover + e-books titles and is automatically applied directly to the shopping cart. Discount offer only valid on purchases made directly through IGI Global’s Online Bookstore and offer expires 30 days after the publication’s release. This automatic discount is not intended for use by book distributors or wholesalers.
  Browse Titles
Books
Journals
e-Collections
- - e-Collections
  - Transformative Open Access (Read & Publish)
Open Access
Publish with Us
Resources
- - Instructors
  - Course Adoption
  - Teaching Cases
  - K-12 Online Learning Collection
  - Authors and Editors
  - eEditorial Discovery^® System
  - Peer Review Process
  - Ethics and Malpractice
  - COPE Membership
  - Fair Use Policy
  - Open Access Publishing
  - Author Services
  - FAQ
Catalogs
About Us
Newsroom

Combining Artificial Neural Networks and GOR-V Information Theory to Predict Protein Secondary Structure from Amino Acid Sequences

Saad Osman Abdalla Subair (Al Ghurair University, Dubai, UAE) and Safaai Deris (University of Technology Malaysia, Malaysia)

Source Title: International Journal of Intelligent Information Technologies (IJIIT) 1(4)

DOI: 10.4018/jiit.2005100104

OnDemand PDF Download:

Available

$37.50

Current Special Offers

No Current Special Offers

Abstract

Protein secondary structure prediction is a fundamental step in determining the 3D structure of a protein. In this paper, a new method for predicting protein secondary structure from amino acid sequences has been proposed and implemented. Cuff and Barton 513 protein data set is used in training and testing the prediction methods under the same hardware, platforms, and environments. The newly developed method utilizes the knowledge of the GOR-V information theory and the power of the neural networks to classify a novel protein sequence in one of its three secondary structure classes (helices, strands, and coils). The newly developed method (NN-GORV-I) is improved further by applying a filtering mechanism to the searched database and, hence, named NN-GORV-II. The developed prediction methods are rigorously analyzed and tested, together with other five well-known prediction methods in this domain in order to allow easy comparison and clear conclusions.

Complete Article List

Search this Journal:

Reset

Open Access Articles: Forthcoming

Volume 18: 4 Issues (2022): 2 Released, 2 Forthcoming

Volume 17: 4 Issues (2021)

Volume 16: 4 Issues (2020)

Volume 15: 4 Issues (2019)

Volume 14: 4 Issues (2018)

Volume 13: 4 Issues (2017)

Volume 12: 4 Issues (2016)

Volume 11: 4 Issues (2015)

Volume 10: 4 Issues (2014)

Volume 9: 4 Issues (2013)

Volume 8: 4 Issues (2012)

Volume 7: 4 Issues (2011)

Volume 6: 4 Issues (2010)

Volume 5: 4 Issues (2009)

Volume 4: 4 Issues (2008)

Volume 3: 4 Issues (2007)

Volume 2: 4 Issues (2006)

Volume 1: 4 Issues (2005)

View Complete Journal Contents Listing

MLA

APA

Chicago

Export Reference

Combining Artificial Neural Networks and GOR-V Information Theory to Predict Protein Secondary Structure from Amino Acid Sequences

Abstract

Complete Article List