{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T13:58:53Z","timestamp":1725544733670},"publisher-location":"Berlin, Heidelberg","reference-count":23,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540331834"},{"type":"electronic","value":"9783540331841"}],"license":[{"start":{"date-parts":[[2006,1,1]],"date-time":"2006-01-01T00:00:00Z","timestamp":1136073600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006]]},"DOI":"10.1007\/11731177_38","type":"book-chapter","created":{"date-parts":[[2006,3,10]],"date-time":"2006-03-10T03:45:04Z","timestamp":1141962304000},"page":"307-323","source":"Crossref","is-referenced-by-count":0,"title":["Lipschitzian Pattern Search and Immunological Algorithm with Quasi-Newton Method for the Protein Folding Problem: An Innovative Multistage Approach"],"prefix":"10.1007","author":[{"given":"A. M.","family":"Anile","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"V.","family":"Cutello","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G.","family":"Narzisi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G.","family":"Nicosia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.","family":"Spinella","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"38_CR1","doi-asserted-by":"publisher","first-page":"723","DOI":"10.1016\/S0022-2836(83)80129-6","volume":"170","author":"M. Levitt","year":"1983","unstructured":"Levitt, M.: Protein folding by restrained energy minimization and molecular dynamics. J. Mol. Biol.\u00a0170, 723\u2013764 (1983)","journal-title":"J. Mol. Biol."},{"key":"38_CR2","doi-asserted-by":"publisher","first-page":"1191","DOI":"10.1006\/jmbi.2000.4459","volume":"306","author":"K.T. Simons","year":"1997","unstructured":"Simons, K.T., Kooperberg, C., Huang, E., Baker, D.: Assembly of protein tertiary structures from fragments with similar local sequences using simulated annealing and bayesian scoring function. J. Mol. Biol.\u00a0306, 1191\u20131199 (1997)","journal-title":"J. Mol. Biol."},{"key":"38_CR3","doi-asserted-by":"publisher","first-page":"920","DOI":"10.1002\/(SICI)1096-987X(199705)18:7<920::AID-JCC5>3.0.CO;2-T","volume":"18","author":"U.H. Hansmann","year":"1997","unstructured":"Hansmann, U.H., Okamoto, Y.: Numerical comparisons of three recently proposed algorithms in the protein folding problem. J. Comp. Chem.\u00a018, 920\u2013933 (1997)","journal-title":"J. Comp. Chem."},{"key":"38_CR4","doi-asserted-by":"publisher","first-page":"4436","DOI":"10.1073\/pnas.91.10.4436","volume":"91","author":"J.U. Bowie","year":"1994","unstructured":"Bowie, J.U., Eisemberg, D.: An evolutionary approach to folding small alpha-helical proteins that uses sequence information and an empirical guiding fitness function. Proc. Natl. Acad. Sci. USA\u00a091, 4436\u20134440 (1994)","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"38_CR5","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1006\/jmbi.1999.2861","volume":"290","author":"S.E. Huang","year":"1999","unstructured":"Huang, S.E., Samudrala, R., Ponder, J.W.: Ab initio folding prediction of small helical proteins using distance geometry and knowledge-based scoring functions. J. Mol. Biol.\u00a0290, 267\u2013281 (1999)","journal-title":"J. Mol. Biol."},{"key":"38_CR6","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1007\/BF00941892","volume":"79","author":"D.R. Jones","year":"1993","unstructured":"Jones, D.R., Perttunen, C.D., Stuckman, B.E.: Lipschitzian optimization without the lipschitz constant. J. of Optimization Theory and Application\u00a079, 157\u2013181 (1993)","journal-title":"J. of Optimization Theory and Application"},{"key":"38_CR7","unstructured":"Finkel, D.E.: DIRECT Optimization Algorithm User Guide. Technical Report, CRSC N.C. State University (March 2003), \n                    \n                      ftp:\/\/ftp.ncsu.edu\/pub\/ncsu\/crsc\/pdf\/crsc-tr03-11.pdf"},{"key":"38_CR8","series-title":"Lecture Notes in Computer Science","volume-title":"Artificial Immune Systems","year":"2004","unstructured":"Nicosia, G., Cutello, V., Bentley, P., Timmis, J. (eds.): ICARIS 2004. LNCS, vol.\u00a03239. Springer, Heidelberg (2004)"},{"key":"38_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1007\/978-3-540-30220-9_22","volume-title":"Artificial Immune Systems","author":"V. Cutello","year":"2004","unstructured":"Cutello, V., Nicosia, G., Pavone, M.: Exploring the capability of immune algorithms: A characterization of hypermutation operators. In: Nicosia, G., Cutello, V., Bentley, P.J., Timmis, J. (eds.) ICARIS 2004. LNCS, vol.\u00a03239, pp. 263\u2013276. Springer, Heidelberg (2004)"},{"key":"38_CR10","doi-asserted-by":"publisher","first-page":"1661","DOI":"10.1002\/pro.5560060807","volume":"6","author":"R.L. Dunbrack Jr.","year":"1997","unstructured":"Dunbrack Jr., R.L., Cohen, F.E.: Bayesian statistical analysis of protein sidechain rotamer preferences. Protein Science\u00a06, 1661\u20131681 (1997)","journal-title":"Protein Science"},{"key":"38_CR11","doi-asserted-by":"publisher","first-page":"697","DOI":"10.1016\/0022-2836(87)90041-6","volume":"196","author":"E.O. Purisima","year":"1987","unstructured":"Purisima, E.O., Scheraga, H.A.: An approach to the multiple-minima problem in protein folding by relaxing dimensionality. test on enkephalin. J. Mol. Biol.\u00a0196, 697\u2013709 (1987)","journal-title":"J. Mol. Biol."},{"key":"38_CR12","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1016\/0166-1280(88)80133-7","volume":"179","author":"Z. Li","year":"1988","unstructured":"Li, Z., Scheraga, H.A.: Structure and free energy of complex thermodynamics systems. J. Mol. Stru.\u00a0179, 333\u2013352 (1988)","journal-title":"J. Mol. Stru."},{"key":"38_CR13","doi-asserted-by":"crossref","unstructured":"Kaiser Jr., C.E., Lamont, G.B., Merkle, L.D., Gates Jr., G.H., Patcher, R.: Polypeptide structure prediction: Real-valued versus binary hybrid genetic algorithms. In: Proc. of the ACM Symposium on Applied Computing (SAC), San Jose, CA, March 1997, pp. 279\u2013286 (1997)","DOI":"10.1145\/331697.331755"},{"key":"38_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"959","DOI":"10.1007\/BFb0056937","volume-title":"Parallel Problem Solving from Nature - PPSN V","author":"E. Bindewald","year":"1998","unstructured":"Bindewald, E., Hesser, J., M\u00e4nner, R.: Implementing genetic algorithms with sterical constraints for protein structure prediction. In: Eiben, A.E., B\u00e4ck, T., Schoenauer, M., Schwefel, H.-P. (eds.) PPSN 1998. LNCS, vol.\u00a01498, pp. 959\u2013967. Springer, Heidelberg (1998)"},{"key":"38_CR15","doi-asserted-by":"publisher","first-page":"1800","DOI":"10.1002\/pro.5560050906","volume":"5","author":"A.A. Rabow","year":"1996","unstructured":"Rabow, A.A., Scheraga, H.A.: Improved genetic algorithm for the protein folding problem by use of cartesian combination operators. Protein Science\u00a05, 1800\u20131815 (1996)","journal-title":"Protein Science"},{"key":"38_CR16","first-page":"575","volume":"4","author":"P. Baldi","year":"2003","unstructured":"Baldi, P., Pollastri, G.: The Principled Design of Large-Scale Recursive Neural Network Architectures-DAG-RNNs and the Protein Structure Prediction Problem. Journal of Machine Learning Research\u00a04, 575\u2013603 (2003)","journal-title":"Journal of Machine Learning Research"},{"key":"38_CR17","volume-title":"Numerical Methods for Unconstrained Optimization and Nonlinear Equations","author":"J.E. Dennis","year":"1983","unstructured":"Dennis, J.E., Schnabel, R.B.: Numerical Methods for Unconstrained Optimization and Nonlinear Equations. Prentice- Hall, Englewood Cliffs (1983)"},{"issue":"4","key":"38_CR18","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1007\/BF01582063","volume":"63","author":"R.H. Byrd","year":"1994","unstructured":"Byrd, R.H., Nocedal, J., Schnabel, R.B.: Representation of quasi Newton matrices and their use in limited memory methods. Mathematical Programming\u00a063(4), 129\u2013156 (1994)","journal-title":"Mathematical Programming"},{"key":"38_CR19","doi-asserted-by":"publisher","first-page":"871","DOI":"10.1107\/S0567739482001806","volume":"A38","author":"A.D. McLachlan","year":"1982","unstructured":"McLachlan, A.D.: Rapid Comparison of Protein Structures. Acta Cryst.\u00a0A38, 871\u2013873 (1982)","journal-title":"Acta Cryst."},{"key":"38_CR20","unstructured":"Huang, C.C., Couch, G.S., Pettersen, E.F., Ferrin, T.E.: Chimera: An Extensible Molecular Modeling Application Constructed Using Standard Components. In: Pacific Symposium on Biocomputing, vol.\u00a01, p. 724 (1996)"},{"key":"38_CR21","unstructured":"Hiroyasu, T., Miki, M., Iwahashi, T., Okamoto, Y.: Dual Individual Distributed Genetic Algorithm for Minimizing the Energy of Protein Tertiary Structure, BioGEC 2003. In: Biological Applications of Genetic and Evolutionary Computation, Genetic and Evolutionary Computation Conference 2003 (GECCO 2003), Chicago, Illinois, USA, July 12-16 (2003)"},{"key":"38_CR22","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1007\/978-3-642-78448-4_19","volume-title":"Computer Simulation Studies in Condensed Matter Physics VI","author":"U.H.E. Hansmann","year":"1993","unstructured":"Hansmann, U.H.E., Okamoto, Y.: Prediction of Peptide Conformation by the Multicanonical Algorithm. In: Landau, D.P., Mon, K.K., Schttler, H.B. (eds.) Computer Simulation Studies in Condensed Matter Physics VI, p. 168. Springer, Heidelberg (1993)"},{"key":"38_CR23","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1002\/(SICI)1096-987X(20000130)21:2<86::AID-JCC2>3.0.CO;2-G","volume":"21","author":"N. Foloppe","year":"2000","unstructured":"Foloppe, N., MacKerell Jr., A.D.: All-Atom Empirical Force Field for Nucleic Acids: I. Parameter Optimization Based on Small Molecule and Condensed Phase Macromolecular Target Data. J. Comput. Chem.\u00a021, 86\u2013104 (2000)","journal-title":"J. Comput. Chem."}],"container-title":["Lecture Notes in Computer Science","Neural Nets"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11731177_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,3,12]],"date-time":"2019-03-12T00:32:14Z","timestamp":1552350734000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11731177_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006]]},"ISBN":["9783540331834","9783540331841"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/11731177_38","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2006]]}}}