N. Evolving l-systems to capture protein structure native conformations.pdfVIP

下载本文档

4
0
约2.91万字
约 11页
2017-04-09 发布于江苏
举报
版权申诉

N. Evolving l-systems to capture protein structure native conformations.pdf

1、有哪些信誉好的足球投注网站（book118）网站文档一经付费（服务费），不意味着购买了该文档的版权，仅供个人/单位学习、研究之用，不得用于商业用途，未经授权，严禁复制、发行、汇编、翻译或者网络传播等，侵权必究。。
2、本站所有内容均由合作方或网友上传，本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺！文档内容仅供研究参考，付费前请自行鉴别。如您付费，意味着您自己接受本站规则且自行承担风险，本站不退款、不进行额外附加服务；查看《如何避免下载的几个坑》。如果您已付费下载过本站文档，您可以点击这里二次下载。
3、如文档侵犯商业秘密、侵犯著作权、侵犯人身权等，请点击“版权申诉”（推荐），也可以打举报电话：400-050-0827(电话支持时间：9:00-18:30)。
4、该文档为VIP文档，如果想要下载，成为VIP会员后，下载免费。
5、成为VIP后，下载本文档将扣除1次下载权益。下载后，不支持退款、换文档。如有疑问请联系我们。
6、成为VIP后，您将拥有八大权益，权益包括：VIP文档下载权益、阅读免打扰、文档格式转换、高级专利检索、专属身份标志、高级客服、多端互通、版权登记。
7、VIP文档为合作方或网友上传，每下载1次，网站将根据用户上传文档的质量评分、类型等，对文档贡献者给予高额补贴、流量扶持。如果你也想贡献VIP文档。上传文档

N. Evolving l-systems to capture protein structure native conformations

M. Keijzer et al. (Eds.): EuroGP 2005, LNCS 3447, pp X-XY, 2005, pp. 73 – 83, 2005. ? Springer-Verlag Berlin Heidelberg 2005 Evolving L-Systems to Capture Protein Structure Native Conformations Gabi Escuela1, Gabriela Ochoa2 and Natalio Krasnogor3 1,2 Department of Computer Science, Simon Bolivar University, Caracas, Venezuela gabiescuela@.ve, gabro@ldc.usb.ve 3 School of Computer Science and I.T., University of Nottingham Natalio.Krasnogor@nottingham.ac.uk Abstract. A protein is a linear chain of amino acids that folds into a unique func- tional structure, called its native state. In this state, proteins show repeated sub- structures like alpha helices and beta sheets. This suggests that native structures may be captured by the formalism known as Lindenmayer systems (L-systems). In this paper an evolutionary approach is used as the inference procedure for folded structures on simple lattice models. The algorithm searches the space of L- systems which are then executed to obtain the phenotype, thus our approach is close to Grammatical Evolution. The problem is to find a set of rewriting rules that represents a target native structure on the lattice model. The proposed ap- proach has produced promising results for short sequences. Thus the foundations are set for a novel encoding based on L-systems for evolutionary approaches to both the Protein Structure Prediction and Inverse Folding Problems. 1 Introduction The Protein Structure Prediction Problem (PSP) is among the most outstanding open problems in Biochemistry. A successful approach for efficient and accurate prediction would hasten a new era for biotechnology. A protein is as a linear sequence of units, called amino acids, that under certain physical conditions folds into a unique func- tional structure known as the native state or tertiary structure. This native state is the key to understanding a proteins’ functionality in a living organism as an enzyme, a storage, transport, mess