Method of inferring three-dimensional structure of protein

Data processing: measuring – calibrating – or testing – Measurement system in a specific environment – Biological or biochemical

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09508527

ABSTRACT:
A method of predicting a scaffold of a protein comprising a query sequence, using a database which contains environmental information on the side chain of each amino acid residue contained in the amino acid sequence of each reference protein whose three-dimensional structure is known or predictable, and comprising: conducting matching based on the environmental information of each amino acid residue of each reference protein and hydrophobicity or hydrophilicity property of the side chain of each amino acid residue of the query sequence, choosing at least one template protein among the reference proteins that has high similarity in three-dimensional structure to the protein comprising the query sequence, and predicting the scaffold of the protein comprising a query sequence.

REFERENCES:
patent: 5241470 (1993-08-01), Lee et al.
patent: 5436850 (1995-07-01), Eisenberg et al.
patent: 5878373 (1999-03-01), Cohen et al.
patent: 5948763 (1999-09-01), Soto-Jara et al.
patent: 6512981 (2003-01-01), Eisenberg et al.
patent: 4-45781 (1992-02-01), None
patent: 5-282383 (1993-10-01), None
patent: 7-13959 (1995-01-01), None
patent: 7-93286 (1995-04-01), None
patent: 7-105179 (1995-04-01), None
patent: 7-206894 (1995-08-01), None
patent: 8-69446 (1996-03-01), None
patent: 10-95796 (1998-04-01), None
patent: 93/01484 (1993-01-01), None
Bystroff et al., “Prediction of Local Structure in Proteins Using a Library of Sequence-Structure Motifs,” Journal of Molecular Biology, 1998, vol. 281, pp. 565-577.
Patent Abstracts of Japan for Publicatiuon No. 10095796.
Patent Abstracts of Japan for Publicatiuon No. 07206894.
Patent Abstracts of Japan for Publicatiuon No. 08069446.
Patent Abstracts of Japan for Publicatiuon No. 07105179.
Patent Abstracts of Japan for Publicatiuon No. 07093286.
Patent Abstracts of Japan for Publicatiuon No. 07013959.
Patent Abstracts of Japan for Publicatiuon No. 05282383.
Patent Abstracts of Japan for Publicatiuon No. 04045781.
Luthy et al., “Assessment of Protein Models with Three-Dimensional Profiles”,Nature, vol. 356, pp. 83-85 (Mar. 5, 1992).
Chou et al., “Prediction of the Secondary Structure of Proteins from Their Amino Acid Sequence”,Adv. in Enzymology, 47, pp. 45-148 (1978).
Branden et al.,Introduction to Protein Structure, pp. 11, 12, 21, 22, and 249 (1992).
Branden et al.,Introduction to Protein Structure, (1999), pp. 13-15, 24-25 and 349.
Martin, Yvonne C., Database accension No. 114:80616 CA XP002196005, abstract only.
Moon, J., and Howe, W., Proteins:, Struct., Funct., Genet. 11(4), pp. 314-328 (1991).
Boehm, Hans J., Database accenssion No. 119:66291 CA XP002196006, abstract only.
Boehm, Hans J., J. Computer-Aided Mol. Des. 6, pp. 61-78 (1992).
Satoru Kuhara et al., “A Deductive Database System PACADE for the Three Dimensional Structure of Protein”, Proc. 24th Annual Hawaii International Conference on System Sciences, vol. 1, pp. 653-659 (1991).
John Spencer Evans et al., “Prediction of Polyelectrolyte Polypeptide Structures Using Monte Carlo Conformational Search Methods with Implicit Solvation Modeling”, Protein Science, vol. 4, pp. 2019-2031 (1995).

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