Maximal-Length Linear Sequence

2012 ◽  
Keyword(s):  
Maximal Length ◽  
Linear Sequence

Maximal-Length Linear Sequence

2006 ◽  
pp. 372-375
Author(s):  
Tor Helleseth
Keyword(s):  
Maximal Length ◽  
Linear Sequence

The Total Synthesis of Rhabdastrellic Acid A

2018 ◽  
Author(s):  
Yaroslav Boyko ◽  
Christopher Huck ◽  
David Sarlah
Keyword(s):  
Total Synthesis ◽  
Late Stage ◽  
Cross Coupling ◽  
Side Chains ◽  
General Strategy ◽  
Modular Approach ◽  
Linear Sequence ◽  
Generating Sequence ◽  
First Time

<div>The first total synthesis of rhabdastrellic acid A, a highly cytotoxic isomalabaricane triterpenoid, has been accomplished in a linear sequence of 14 steps from commercial geranylacetone. The prominently strained <i>trans-syn-trans</i>-perhydrobenz[<i>e</i>]indene core characteristic of the isomalabaricanes is efficiently accessed in a selective manner for the first time through a rapid, complexity-generating sequence incorporating a reductive radical polyene cyclization, an unprecedented oxidative Rautenstrauch cycloisomerization, and umpolung 𝛼-substitution of a <i>p</i>-toluenesulfonylhydrazone with in situ reductive transposition. A late-stage cross-coupling in concert with a modular approach to polyunsaturated side chains renders this a general strategy for the synthesis of numerous family members of these synthetically challenging and hitherto inaccessible marine triterpenoids.</div>

scholarly journals Pseudo-random sequences with non-maximal length realized according to the Galois scheme based on the primitive polynomial in degree

2020 ◽  
Vol 1658 ◽  
pp. 012036
Author(s):  
V A Pesoshin ◽  
V M Kuznetsov ◽  
A S Kuznetsova
Keyword(s):  
Maximal Length ◽  
Random Sequences ◽  
Primitive Polynomial

Load Distribution of Parallel Springs With Random Length and Stiffness

1987 ◽  
Vol 109 (4) ◽  
pp. 402-406 ◽  
Author(s):  
Go¨ran Gerbert ◽  
Jacques de Mare´
Keyword(s):  
Uniform Distribution ◽  
Load Distribution ◽  
Simple Formula ◽  
Mechanical Design ◽  
Numerical Results ◽  
Maximal Length ◽  
Major Influence ◽  
Length Variation ◽  
Spring Stiffness ◽  
Failure Risk

There are many applications in mechanical design where load distribution is modelled with parallel springs. Here random variation in spring length and spring stiffness is considered. Length variation is assumed to be the major influence and the case with uniform distribution is analyzed in detail. Small variations in spring stiffness are included. Numerical results are given. A simple formula is presented which gives the maximal length deviation as a function of the number of springs. The formula is based on a 10 percent failure risk which is a common number in practical mechanical design.

scholarly journals The set of realizations of a max-plus linear sequence is semi-polyhedral

2011 ◽  
Vol 77 (4) ◽  
pp. 820-833 ◽  
Author(s):  
Vincent Blondel ◽  
Stéphane Gaubert ◽  
Natacha Portier
Keyword(s):  
Linear Sequence

scholarly journals A new classification and linear sequence of extant gymnosperms

Phytotaxa ◽  
2011 ◽  
Vol 19 (1) ◽  
pp. 55 ◽  
Author(s):  
M. J. M. Christenhusz ◽  
J. L. Reveal ◽  
A. Farjon ◽  
M. F. Gardner ◽  
R. R. Mill ◽  
...  
Keyword(s):  
New Classification ◽  
Linear Sequence

scholarly journals Mori Contractions of Maximal Length

2013 ◽  
Vol 49 (1) ◽  
pp. 215-228 ◽  
Author(s):  
Andreas Höring ◽  
Carla Novelli
Keyword(s):  
Maximal Length

scholarly journals Protein Folding: Search for Basic Physical Models

2003 ◽  
Vol 3 ◽  
pp. 623-635 ◽  
Author(s):  
Ivan Y. Torshin ◽  
Robert W. Harrison
Keyword(s):  
Protein Folding ◽  
Tertiary Structure ◽  
Three Dimensional ◽  
Physical Models ◽  
Dimensional Structure ◽  
Computational Techniques ◽  
Linear Sequence ◽  
Physical Forces

How a unique three-dimensional structure is rapidly formed from the linear sequence of a polypeptide is one of the important questions in contemporary science. Apart from biological context ofin vivoprotein folding (which has been studied only for a few proteins), the roles of the fundamental physical forces in thein vitrofolding remain largely unstudied. Despite a degree of success in using descriptions based on statistical and/or thermodynamic approaches, few of the current models explicitly include more basic physical forces (such as electrostatics and Van Der Waals forces). Moreover, the present-day models rarely take into account that the protein folding is, essentially, a rapid process that produces a highly specific architecture. This review considers several physical models that may provide more direct links between sequence and tertiary structure in terms of the physical forces. In particular, elaboration of such simple models is likely to produce extremely effective computational techniques with value for modern genomics.

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