Journal article
Computational protein chemistry of p53 and p53 peptides
Frontiers in bioscience, v 9(1-3), pp 2778-2787
01 Sep 2004
PMID: 15353313
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Computational protein chemistry has potential to contribute to the development of new therapeutic approaches in medicine in several different ways, including indirectly by increasing understanding of the disease-associated changes in protein structure that are mechanistically important, which can have diagnostic implications, as well as directly in designing peptides to counteract the patho-physiologic effects of these changes. Studies of the role of the tumor suppressor protein p53 in the carcinogenic process provide examples of both types of contribution. Computational studies of the effects of mutations in p53 on its structure have provided insights into cancer mechanisms and have served to elucidate potential new diagnostic approaches based on the identification of changes in p53 structure. Computational studies of p53 peptides have contributed to identifying and optimizing the structural characteristics that contribute to their activity in selectively killing cancer cells.
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Details
- Title
- Computational protein chemistry of p53 and p53 peptides
- Creators
- Paul W Brandt-Rauf - Columbia UniversityRamon V Rosal - Columbia UniversityRobert L Fine - Columbia UniversityMatthew R Pincus - Columbia University
- Publication Details
- Frontiers in bioscience, v 9(1-3), pp 2778-2787
- Grant note
- R01-CA42500 / NCI NIH HHS R01-OH04192 / NIOSH CDC HHS R01-CA82528 / NCI NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems; Drexel University
- Web of Science ID
- WOS:000223763200062
- Scopus ID
- 2-s2.0-32744470524
- Other Identifier
- 991019323774604721
UN Sustainable Development Goals (SDGs)
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Biochemistry & Molecular Biology
- Cell Biology