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Self-consistent Knowledge-Based Approach to Protein Design

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Mathematical Methods for Protein Structure Analysis and Design

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 2666))

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Abstract

Two of the most investigated problems in molecular biology are protein folding and design. These problems stem from Anfinsen’s discovery [1] that the sequence of amino acids of a naturally-occurring protein uniquely specifies its thermodynamically stable native structure. The protein folding challenge consists of predicting the native state of a protein from its sequence of amino acids, while in protein design one is concerned to identify the amino acid sequences folding into a pre-assigned native conformation. This last issue, having obvious practical and evolutionary significance, has attracted considerable attention and effort of experimentalists and theorists [2, 3, 4, 5, 6, 7, 8].

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© 2003 Springer-Verlag Berlin Heidelberg

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Rossi, A., Micheletti, C., Seno, F., Maritan, A. (2003). Self-consistent Knowledge-Based Approach to Protein Design. In: Guerra, C., Istrail, S. (eds) Mathematical Methods for Protein Structure Analysis and Design. Lecture Notes in Computer Science(), vol 2666. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44827-3_8

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  • DOI: https://doi.org/10.1007/978-3-540-44827-3_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40104-9

  • Online ISBN: 978-3-540-44827-3

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