Wyniki wyszukiwania

1

Prediction of protein secondary structure by an enhanced neural network

100%

Vieth M., Kolinski A.

Acta Biochimica Polonica

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1991

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tom 38

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nr 3

Prediction of protein secondary structure by an enhanced neural networ

2

Implications of kinase similarity in drug discovery

100%

Vieth M., Sutherland J.

Cellular and Molecular Biology Letters

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2005

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tom 10

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nr Suppl.2

3

Prediction of protein secondary structure by neural networks: encoding short and long range patterns of amino acid packing

80%

Vieth M., Kolinski A., Skolnick J., Sikorski A.

Acta Biochimica Polonica

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1992

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tom 39

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nr 4

À complex, cascaded neural network designed to predict the secondary structure of globular proteins has been developed. Information about the local buried-unburied pattern and the average tendency of the particular types of amino acids to be buried inside the globule were used. Nonspecific information about long distance contact maps was also employed. These modifications result in a noticeable improvement (3 - 9%) of prediction accuracy. The best result for the average success ratio for the testing set of nonhomologous proteins was 68.3% (with corresponding Matthews' coefficients, C

4

Combining medicinal chemistry with chemogenomic and computer-aided structure-based design in development of novel kinase inhibitors

61%

Vieth M., Brooks H. B., Hamdouchi C., McMillen W., Sawyer J. S., Yingling J. M., Zhang F.

Cellular and Molecular Biology Letters

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2003

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tom 08

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nr 2A

Ograniczanie wyników

2 Acta Biochimica Polonica

2 Cellular and Molecular Biology Letters

4 Vieth M.

2 Kolinski A.

1 Brooks H. B.

1 Hamdouchi C.

1 McMillen W.

1 Sawyer J. S.

1 Sikorski A.

1 Skolnick J.

1 Sutherland J.

1 Yingling J. M.

1 Zhang F.

1 2005

1 2003

1 1992

1 1991

Prediction of protein secondary structure by an enhanced neural network

Implications of kinase similarity in drug discovery

Prediction of protein secondary structure by neural networks: encoding short and long range patterns of amino acid packing

Combining medicinal chemistry with chemogenomic and computer-aided structure-based design in development of novel kinase inhibitors