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024 7 _ |a pmid:20136299
|2 pmid
024 7 _ |a 10.1063/1.3273617
|2 DOI
024 7 _ |a WOS:000274319900002
|2 WOS
024 7 _ |a 2128/19498
|2 Handle
037 _ _ |a PreJuSER-9867
041 _ _ |a eng
082 _ _ |a 540
084 _ _ |2 WoS
|a Physics, Atomic, Molecular & Chemical
100 1 _ |a Strodel, B.
|b 0
|u FZJ
|0 P:(DE-Juel1)132024
245 _ _ |a Interpolation Schemes for Peptide Rearrangements
260 _ _ |a Melville, NY
|b American Institute of Physics
|c 2010
300 _ _ |a 054101
336 7 _ |a Journal Article
|0 PUB:(DE-HGF)16
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336 7 _ |a Journal Article
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336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a article
|2 DRIVER
440 _ 0 |a Journal of Chemical Physics
|x 0021-9606
|0 3145
|y 5
|v 132
500 _ _ |a M.B. gratefully acknowledges the Gates Cambridge Trust for financial support.
520 _ _ |a A variety of methods (in total seven) comprising different combinations of internal and Cartesian coordinates are tested for interpolation and alignment in connection attempts for polypeptide rearrangements. We consider Cartesian coordinates, the internal coordinates used in CHARMM, and natural internal coordinates, each of which has been interfaced to the OPTIM code and compared with the corresponding results for united-atom force fields. We show that aligning the methylene hydrogens to preserve the sign of a local dihedral angle, rather than minimizing a distance metric, provides significant improvements with respect to connection times and failures. We also demonstrate the superiority of natural coordinate methods in conjunction with internal alignment. Checking the potential energy of the interpolated structures can act as a criterion for the choice of the interpolation coordinate system, which reduces failures and connection times significantly.
536 _ _ |a Funktion und Dysfunktion des Nervensystems
|c P33
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536 _ _ |a BioSoft: Makromolekulare Systeme und biologische Informationsverarbeitung
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588 _ _ |a Dataset connected to Web of Science, Pubmed
650 _ 2 |2 MeSH
|a Algorithms
650 _ 2 |2 MeSH
|a Artificial Intelligence
650 _ 2 |2 MeSH
|a Computer Simulation
650 _ 2 |2 MeSH
|a Image Enhancement
650 _ 2 |2 MeSH
|a Image Interpretation, Computer-Assisted
650 _ 2 |2 MeSH
|a Mathematics: methods
650 _ 2 |2 MeSH
|a Molecular Sequence Data
650 _ 2 |2 MeSH
|a Pattern Recognition, Automated
650 _ 2 |2 MeSH
|a Peptides: chemistry
650 _ 2 |2 MeSH
|a Protein Conformation
650 _ 2 |2 MeSH
|a Protein Folding
650 _ 2 |2 MeSH
|a Thermodynamics
650 _ 7 |0 0
|2 NLM Chemicals
|a Peptides
650 _ 7 |a J
|2 WoSType
700 1 _ |a Bauer, M.S.
|b 1
|0 P:(DE-HGF)0
700 1 _ |a Fejer, S.N.
|b 2
|0 P:(DE-HGF)0
700 1 _ |a Koslover, E.F.
|b 3
|0 P:(DE-HGF)0
700 1 _ |a Wales, D.J.
|b 4
|0 P:(DE-HGF)0
773 _ _ |a 10.1063/1.3273617
|g Vol. 132, p. 054101
|p 054101
|q 132<054101
|0 PERI:(DE-600)1473050-9
|t The @journal of chemical physics
|v 132
|y 2010
|x 0021-9606
856 7 _ |u http://dx.doi.org/10.1063/1.3273617
856 4 _ |u https://juser.fz-juelich.de/record/9867/files/1.3273617.pdf
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913 1 _ |k P33
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913 2 _ |a DE-HGF
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|l BioSoft Fundamentals for future Technologies in the fields of Soft Matter and Life Sciences
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|v Functional Macromolecules and Complexes
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914 1 _ |y 2010
915 _ _ |a OpenAccess
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915 _ _ |a JCR/ISI refereed
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920 1 _ |k ISB-3
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