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Wyszukujesz frazę "protein structure modeling" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Unexpected domain composition of MACC1 links MET signaling and apoptosis
Autorzy:
Kokoszyńska, Katarzyna
Kryński, Jacek
Rychlewski, Leszek
Wyrwicz, Lucjan
Powiązania:
https://bibliotekanauki.pl/articles/1040592.pdf
Data publikacji:
2009
Wydawca:
Polskie Towarzystwo Biochemiczne
Tematy:
protein structure modeling
colorectal cancer
bioinformatics
death domain
Opis:
Colorectal cancer, one of the most challenging malignancies, still has a limited number of recognized prognostic and predictive markers indicating appropriate treatment. MACC1 (metastasis-associated in colon cancer-1), a novel regulator of tumor growth and metastasis has recently been identified as an important prognostic factor of metastatic disease in colorectal cancer. The mechanism of MACC1 activity remains undetermined. Here we apply a combination of fold recognition and homology modeling algorithms to draft MACC1 function. The applied methods revealed that the MACC1 protein consists of four domains: ZU5, SH3, and two C-terminal death domains (DD). Previously a similar domain architecture (ZU5-DD) was observed in other proteins, involved mainly in signal transduction and apoptosis regulation. Based on the specific aspects of the closest homologues' biology functional hypotheses on MACC1 are proposed. A broad range of bioinformatic analyzes indicates that MACC1, besides its involvement in signal transduction from the MET receptor, links MET signaling and apoptosis.
Źródło:
Acta Biochimica Polonica; 2009, 56, 2; 317-324
0001-527X
Pojawia się w:
Acta Biochimica Polonica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An example of template based protein structure modeling by global optimization
Autorzy:
Joo, K.
Joung, I.
Lee, J.
Powiązania:
https://bibliotekanauki.pl/articles/1938628.pdf
Data publikacji:
2016
Wydawca:
Politechnika Gdańska
Tematy:
template based modeling
protein structure modeling
global optimization
casp
homology modeling
sequence alignment
fold recognition
Opis:
CASP (Critical Assessment of protein Structure Prediction) is a community-wide experiment for protein structure prediction taking place every two years since 1994. In CASP 11 held in 2014, according to the official CASP 11 assessment, our method named `nns' was ranked as the second best server method based on models ranked as first out of 81 targets. In `nns', we applied the powerful global optimization method of conformational space annealing to three stages of optimization, including multiple sequence-structure alignment, three-dimensional (3D) chain building, and side-chain remodeling. For the fold recognition, a new alignment method called CRF align was used. The good performance of the nns server method is attributed to the successful fold recognition carried out by combined methods including CRF align, and the current modeling formulation incorporating accurate structural aspects collected from multiple templates. In this article, we provide a successful example of `nns' predictions for T0776, for which all details of intermediate modeling data are provided.
Źródło:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2016, 20, 4; 341-352
1428-6394
Pojawia się w:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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