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Pregled bibliografske jedinice broj: 1111108

Combining Inference from Evolution and Geometric Probability in Protein Structure Evaluation


Mihalek, I.; Reš, I.; Yao, H.; Lichtarge, O.
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



POVEZANOST RADA


Profili:

Avatar Url Ivana Mihalek (autor)

Poveznice na cjeloviti tekst rada:

doi www.sciencedirect.com

Citiraj ovu publikaciju:

Mihalek, I.; Reš, I.; Yao, H.; Lichtarge, O.
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)
Mihalek, I., Reš, I., Yao, H. & Lichtarge, O. (2003) Combining Inference from Evolution and Geometric Probability in Protein Structure Evaluation. Journal of Molecular Biology, 331 (1), 263-279 doi:10.1016/s0022-2836(03)00663-6.
@article{article, author = {Mihalek, I. and Re\v{s}, I. and Yao, H. and Lichtarge, O.}, year = {2003}, pages = {263-279}, DOI = {10.1016/s0022-2836(03)00663-6}, keywords = {protein folding, residue clustering, sequence–structure consistency}, journal = {Journal of Molecular Biology}, doi = {10.1016/s0022-2836(03)00663-6}, volume = {331}, number = {1}, issn = {0022-2836}, title = {Combining Inference from Evolution and Geometric Probability in Protein Structure Evaluation}, keyword = {protein folding, residue clustering, sequence–structure consistency} }
@article{article, author = {Mihalek, I. and Re\v{s}, I. and Yao, H. and Lichtarge, O.}, year = {2003}, pages = {263-279}, DOI = {10.1016/s0022-2836(03)00663-6}, keywords = {protein folding, residue clustering, sequence–structure consistenc}, journal = {Journal of Molecular Biology}, doi = {10.1016/s0022-2836(03)00663-6}, volume = {331}, number = {1}, issn = {0022-2836}, title = {Combining Inference from Evolution and Geometric Probability in Protein Structure Evaluation}, keyword = {protein folding, residue clustering, sequence–structure consistenc} }

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


Citati:





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