Improving protein structure prediction, refinement and quality assessment techniques

• Autorzy: Leelananda S. P. , Pawłowski M. , Faraggi E. , Kloczkowski A.
• Języki publikacji: EN

Abstrakty

EN

Several novel techniques have been combined to improve protein structure prediction, structural refinement and quality assessment of protein models. We discuss in brief the development of four-body potentials that take into account dense packing and cooperativity of interactions of proteins, and its success. We have developed a metho d that uses whole protein information filtered through machine learning to score protein models base d on their likeness to native structure. Here we consider electrostatic interactions and residue depth, and use these for structure prediction. These potentials were tested to be succe ssful in CASP 9 and CASP 10. We have also developed a Quality Assessment technique, MQAP single, which is a quasi-single-model MQAP , by combining advantages of both “pure” single-model MQAP s and clustering MQAP s. This technique can be used in ranking and assessing the absolute global quality of single protein models. This model (Pawlowski-Kloczkowski) was ranked 3rd in Model Quality Assessment in CASP 10. Consideration of protein flexibility and its fluctuation dynamics improves protein structure prediction and leads to better refinement of computational models of proteins. Here we also discuss how Anisotropic Network Model ( ANM ) of protein fluctuation dynamics and Go-like model of energy score can be used for novel protein structure refinement.

Słowa kluczowe

EN

protein structure prediction; model quality assessment; structure refinement

PL

przewidywanie struktury białek; ocena jakości modeli

• Wydawca: Politechnika Gdańska
• Czasopismo: TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk
• Rocznik: 2014
• Tom: Vol. 18, No 3
• Strony: 231--243
• Opis fizyczny: Bibliogr. 39 poz., rys., tab.

Twórcy

autor

Leelananda S. P.

• Nationwide Children’s Hospital Columbus, OH, USA

autor

Pawłowski M.

• Nationwide Children’s Hospital Columbus, OH, USA

autor

Faraggi E.

• Nationwide Children’s Hospital Columbus, OH, USA

autor

Kloczkowski A.

• Nationwide Children’s Hospital Columbus, OH, USA
• The Ohio State University Columbus, OH, USA
• Kavli Institute for Theoretical Physics China, Chinese Academy of Sciences Beijing 100190, China

Bibliografia

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