Advancing Peptide-Based Cancer Therapy with AI: In-Depth Analysis of State-of-the-Art AI Models-Reference-Cited by-同舟云学术

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Advancing Peptide-Based Cancer Therapy with AI: In-Depth Analysis of State-of-the-Art AI Models

Published:2024-06-14 Issue:13 Volume:64 Page:4941-4957
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Bhattarai Sadik¹,Tayara Hilal²^ORCID,Chong Kil To¹³

Affiliation:

1. Department of Electronics and Information Engineering, Jeonbuk National University, Jeonju-si, 54896 Jeollabuk-do, South Korea

2. School of International Engineering and Science, Jeonbuk National University, Jeonju-si, 54896 Jeollabuk-do, South Korea

3. Advanced Electronics and Information Research Center, Jeonbuk National University, Jeonju-si, 54896 Jeollabuk-do, South Korea

Funder

National Research Foundation of Korea

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.4c00295

Reference109 articles.

1. Novel Peptide Therapeutic Approaches for Cancer Treatment

2. Anticancer drug targets: approaching angiogenesis

3. Somatic gene mutation and human disease other than cancer: An update

4. Therapeutic peptides for cancer therapy. Part I – peptide inhibitors of signal transduction cascades

5. Two novel antimicrobial and anticancer peptides prediction from Vibrio sp. strain ES25

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1. Discovery of potential antidiabetic peptides using deep learning;Computers in Biology and Medicine;2024-09

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