Anticancer Peptides Classification Using Long-Short-Term Memory With Novel Feature Representation

Anticancer Peptides Classification Using Long-Short-Term Memory With Novel Feature Representation

Cancer treatment is a challenging endeavor because of the intricacy, heterogeneity, and diversity of cancer causes. Comprehensive therapeutic approaches are crucial for cancer treatment. Anticancer peptides (ACPs) present a potentially effective therapeutic option. However, the extensive identificat...

Full description

Saved in:
Bibliographic Details
Main Authors: Nazer Al Tahifah, Muhammad Sohail Ibrahim, Erum Rehman, Naveed Ahmed, Abdul Wahab, Shujaat Khan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
INDEX TERMS Anticancer peptides (ACPs)
composition of K-spaced amino-acid pairs (CKSAAP)
long-short-term-memory (LSTM)
composition of the K-spaced side chain pairs (CKSSCP)
composition of the K-spaced electrically charged side chain pairs (CKSECSCP)
isoelectric point (pI)
Online Access:https://ieeexplore.ieee.org/document/10816412/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10816412/

Similar Items