In silico criterion for prediction of effects of p53 gene missense mutations on p53-Mdm2 feedback loop
Apstrakt
The Informational Spectrum Method (ISM) is the tool for the in silico analysis of proteins which interprets protein sequence linear information using signal analyses methods. In this paper the ISM was employed to characterize the products of genetic variants of tumor suppressor gene p53 and its natural binding regulator protein Mdm2. Based on this we propose the criterion for identification of missense mutations that have impact on the p53-Mdm2 feedback loop. The efficiency of the proposed criterion was confirmed by the ISM analyses of p53 mutants reported in: (i) healthy individuals, (ii) germline mutations database and (iii) somatic mutations database.
Ključne reči:
TP53 / Mdm2 / informational spectrum method / Single Nucleotide Polymorphism / mutationIzvor:
Protein and Peptide Letters, 2006, 13, 8, 807-814
DOI: 10.2174/092986606777841181
ISSN: 0929-8665
PubMed: 17073727
WoS: 000239700600010
Scopus: 2-s2.0-33746640455
Kolekcije
Institucija/grupa
VinčaTY - JOUR AU - Veljković, Nevena V. AU - Perović, Vladimir R. PY - 2006 UR - https://vinar.vin.bg.ac.rs/handle/123456789/3063 AB - The Informational Spectrum Method (ISM) is the tool for the in silico analysis of proteins which interprets protein sequence linear information using signal analyses methods. In this paper the ISM was employed to characterize the products of genetic variants of tumor suppressor gene p53 and its natural binding regulator protein Mdm2. Based on this we propose the criterion for identification of missense mutations that have impact on the p53-Mdm2 feedback loop. The efficiency of the proposed criterion was confirmed by the ISM analyses of p53 mutants reported in: (i) healthy individuals, (ii) germline mutations database and (iii) somatic mutations database. T2 - Protein and Peptide Letters T1 - In silico criterion for prediction of effects of p53 gene missense mutations on p53-Mdm2 feedback loop VL - 13 IS - 8 SP - 807 EP - 814 DO - 10.2174/092986606777841181 ER -
@article{ author = "Veljković, Nevena V. and Perović, Vladimir R.", year = "2006", abstract = "The Informational Spectrum Method (ISM) is the tool for the in silico analysis of proteins which interprets protein sequence linear information using signal analyses methods. In this paper the ISM was employed to characterize the products of genetic variants of tumor suppressor gene p53 and its natural binding regulator protein Mdm2. Based on this we propose the criterion for identification of missense mutations that have impact on the p53-Mdm2 feedback loop. The efficiency of the proposed criterion was confirmed by the ISM analyses of p53 mutants reported in: (i) healthy individuals, (ii) germline mutations database and (iii) somatic mutations database.", journal = "Protein and Peptide Letters", title = "In silico criterion for prediction of effects of p53 gene missense mutations on p53-Mdm2 feedback loop", volume = "13", number = "8", pages = "807-814", doi = "10.2174/092986606777841181" }
Veljković, N. V.,& Perović, V. R.. (2006). In silico criterion for prediction of effects of p53 gene missense mutations on p53-Mdm2 feedback loop. in Protein and Peptide Letters, 13(8), 807-814. https://doi.org/10.2174/092986606777841181
Veljković NV, Perović VR. In silico criterion for prediction of effects of p53 gene missense mutations on p53-Mdm2 feedback loop. in Protein and Peptide Letters. 2006;13(8):807-814. doi:10.2174/092986606777841181 .
Veljković, Nevena V., Perović, Vladimir R., "In silico criterion for prediction of effects of p53 gene missense mutations on p53-Mdm2 feedback loop" in Protein and Peptide Letters, 13, no. 8 (2006):807-814, https://doi.org/10.2174/092986606777841181 . .