Pregled bibliografske jedinice broj: 1111108
Combining Inference from Evolution and Geometric Probability in Protein Structure Evaluation
Combining Inference from Evolution and Geometric Probability in Protein Structure Evaluation // Journal of Molecular Biology, 331 (2003), 1; 263-279 doi:10.1016/s0022-2836(03)00663-6 (međunarodna recenzija, članak, znanstveni)
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Naslov
Combining Inference from Evolution and Geometric Probability in Protein Structure Evaluation
Autori
Mihalek, I. ; Reš, I. ; Yao, H. ; Lichtarge, O.
Izvornik
Journal of Molecular Biology (0022-2836) 331
(2003), 1;
263-279
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
protein folding, residue clustering, sequence–structure consistency
(protein folding, residue clustering, sequence–structure consistenc)
Sažetak
Starting from the hypothesis that evolutionarily important residues form a spatially limited cluster in a protein's native fold, we discuss the possibility of detecting a non-native structure based on the absence of such clustering. The relevant residues are determined using the Evolutionary Trace method. We propose a quantity to measure clustering of the selected residues on the structure and show that the exact values for its average and variance over several ensembles of interest can be found. This enables us to study the behavior of the associated z-scores. Since our approach rests on an analytic result, it proves to be general, customizable, and computationally fast. We find that clustering is indeed detectable in a large representative protein set. Furthermore, we show that non-native structures tend to achieve lower residue-clustering z-scores than those attained by the native folds. The most important conclusion that we draw from this work is that consistency between structural and evolutionary information, manifested in clustering of key residues, imposes powerful constraints on the conformational space of a protein.
Izvorni jezik
Engleski
Znanstvena područja
Biologija, Računarstvo, Biotehnologija, Interdisciplinarne biotehničke znanosti
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE