An Integrated Approach to Develop a Potent Vaccine Candidate Construct Against Prostate Cancer by Utilizing Machine Learning and Bioinformatics.

Journal: Cancer reports (Hoboken, N.J.)

PMID: 39651594

Abstract

BACKGROUND: Prostate cancer is the most common malignancy among males. Prostaglandin G/H synthase (PGHS) is an essential enzyme in the synthesis of prostaglandins, and its activation has been linked to many malignancies, including colorectal cancer.

Authors

Aqel Albutti

Department of Basic Health Sciences, College of Applied Medical Sciences, Qassim University, Buraydah, Saudi Arabia.

Keywords

Cancer Vaccines Computational Biology Epitopes, B-Lymphocyte Epitopes, T-Lymphocyte Humans Machine Learning Male Molecular Docking Simulation Molecular Dynamics Simulation Prostatic Neoplasms Vaccine Development Vaccines, Subunit

External Resources

View on PubMed Access via DOI PubMed (39651594)

An Integrated Approach to Develop a Potent Vaccine Candidate Construct Against Prostate Cancer by Utilizing Machine Learning and Bioinformatics.

Abstract

Authors

Keywords

External Resources

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