By Des Higgins, Willie Taylor
ISBN-10: 0199637903
ISBN-13: 9780199637904
ISBN-10: 0199637911
ISBN-13: 9780199637911
ISBN-10: 0585483655
ISBN-13: 9780585483658
This quantity covers useful very important subject matters within the research of protein sequences and constructions. It comprises evaluating amino acid sequences to buildings evaluating buildings to one another, looking details on whole protein households in addition to looking out with unmarried sequences, easy methods to use the web and the way to establish and use the SRS molecular biology database administration method. eventually, there are chapters on a number of series alignment and protein secondary constitution prediction. This e-book might be beneficial to occasional clients of those suggestions in addition to skilled execs or researchers.
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Additional resources for Bioinformatics: Sequence, Structure and Databanks: A Practical Approach
Sample text
1990). Calculation of conformational ensembles from potentials of mean force. An approach to the knowledge-based prediction of local structures in globular proteinsJ. Mol. Biol, 213, 859. 14. Rost, B. (1997). Protein fold recognition by prediction-based threading. J.. Mol. Biol, 270, 1. 15. Jones, D. T. (1999). GenTHREADER: An efficient and reliable protein fold recognition method for genomic sequences. J. Mol. , 287, 797. 16. Murzin, A, G. and Bateman, A. (1997). Distant homology recognition using structural classification of proteins.
1 The domain problem in threading Perhaps the main practical limitation of most 'weak' threading methods is that they are aimed at recognizing single globular protein domains, and perform very 11 DAVID JONES AND CAROLINE HADLEY poorly when tried on proteins which comprise multiple domains. Unfortunately, threading cannot be used for identifying domain boundaries with any degree of confidence, and indeed the general problem of detecting domain boundaries from amino acid sequence remains an unsolved problem in structural biology.
5 The largest value found at one edge of the matrix specifies the first two aligned positions and gives the optimal alignment score for the comparison. 6 The full alignment that produced the optimal score can be traced beginning at the highest vahie and progressing towards the opposite side of the matrix by following the next best score in the matrix. Wben the next highest value is on the diagonal, residues are matched in sequence; when an off diagonal score (less a penalty) is the next best choice, then a gap is indicated.
Bioinformatics: Sequence, Structure and Databanks: A Practical Approach by Des Higgins, Willie Taylor
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