Rcccivcd 2 Dcccmbcr 1976 WC have used paltcrn rc~op~tmn method\ to predict the outcome of cl.iss~c~l trqcctory calculations dwxtly from the initlal conditions, bypwing the need to mtegratc the trdjectorics numcncally. Two schemes h.rvc been uwd, a ncdrcst nclghbor method (NN) nnd an ad.lptwe digtal
Pattern recognition in molecular dynamics
β Scribed by Wojciech H. Zurek; William C. Schieve
- Publisher
- Elsevier Science
- Year
- 1977
- Tongue
- English
- Weight
- 442 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0010-4655
No coin nor oath required. For personal study only.
β¦ Synopsis
An alg~orithm for the recognition of the formation of bound molecular states in the computer simulation of a dilule ga~ L~ pre.*.enled. Apptication~ to various related problems in physics and che;aistr y are pointed out. Data structure and ded~m proce~e~ are described. Performar, ce of the FORTRAN program based ( n tl;e algorithm ir~ cooperation with the molecuk~r dynamic~ program is oescribeA and the results are presented.
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An efficient energy-based method is presented for recognizing stable clusters in molecular dynamics simulations of interacting particles. This method is able to identify and characterize the average fragment distribution well before spatial separation takes place and provides an improvement upon the
## Abstract Recognition requires protein flexibility because it facilitates conformational rearrangements and inducedβfit mechanisms upon target binding. Intrinsic disorder is an extreme on the continuous spectrum of possible protein dynamics and its role in recognition may seem counterintuitive. H
Spatially extended systems yield complex pattems arising from the coupled dynamics of its different regions. In this paper we introduce a matrix computational operator (the so-called RSV operator), .T A, for the characterization of asymmeuic amplitude fragmentation in extended systems. For a given m