Identifying Neuropeptides via Evolutionary and Sequential Based Multi-Perspective Descriptors by Incorporation With Ensemble Classification Strategy-Reference-Cited by-同舟云学术

Identifying Neuropeptides via Evolutionary and Sequential Based Multi-Perspective Descriptors by Incorporation With Ensemble Classification Strategy

Published:2023 Issue: Volume:11 Page:49024-49034
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Akbar Shahid¹^ORCID,Mohamed Heba G.²^ORCID,Ali Hashim¹^ORCID,Saeed Aamir³^ORCID,Khan Aftab Ahmed¹^ORCID,Gul Sarah⁴,Ahmad Ashfaq²,Ali Farman⁵^ORCID,Ghadi Yazeed Yasin⁶^ORCID,Assam Muhammad⁷

Affiliation:

1. Department of Computer Science, Abdul Wali Khan University Mardan (AWKUM), Mardan, KP, Pakistan

2. Department of Computer Science, Muslim Youth University, Islamabad, Pakistan

3. Department of Computer Science and IT, University of Engineering and Technology at Peshawar, Peshawar, Pakistan

4. Department of Biological Sciences, FBAS, International Islamic University at Islamabad, Islamabad, Pakistan

5. Department of Software Engineering, University of Science and Technology, Bannu, KP, Pakistan

6. Department of Computer Science, Al Ain University, Abu Dhabi, United Arab Emirates

7. Department of Electrical Engineering, College of Engineering, Princess Nourah bint Abdulrahman University, Riyadh 11671, Saudi Arabia

Funder

Princess Nourah bint Abdulrahman University Researchers

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10121673.pdf?arnumber=10121673

Reference54 articles.

1. Setbacks in Alzheimer research demand new strategies, not surrender

2. Cardioregulatory functions of neuropeptides and peptide hormones in insects;chowa;Protein Peptide Lett,2016

3. Peptidomics: The integrated approach of MS, hyphenated techniques and bioinformatics for neuropeptide analysis

4. Novel Design of Neuropeptide-Based Drugs with β-Sheet Breaking Potential in Amyloid-Beta Cascade: Molecular and Structural Deciphers

5. DBP-GAPred: An intelligent method for prediction of DNA-binding proteins types by enhanced evolutionary profile features with ensemble learning

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