A subset-orientated algorithm for minimizing the number of steps required for synthesis of cyclic-peptide libraries

Tran Trung Tran , Darryn Bryant , Mark Smythe
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Abstract

Libraries of cyclic peptides are being synthesized using combinatorial chemistry for high throughput screening in the drug discovery process. This paper describes the min_syn_steps.cpp program (available at http://www.imb.uq.edu.au/groups/smythe/tran), which after inputting a list of cyclic peptides to be synthesized, removes cyclic redundant sequences and calculates synthetic strategies which minimize the synthetic steps as well as the reagent requirements. The synthetic steps and reagent requirements could be minimized by finding common subsets within the sequences for block synthesis. Since a brute-force approach to search for optimum synthetic strategies is impractically large, a subset-orientated approach is utilized here to limit the size of the search.

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一种面向子集的算法,用于最小化合成环肽库所需的步骤数
环状肽的文库正在合成使用组合化学高通量筛选药物发现过程。本文介绍了min_syn_steps.cpp程序(可在http://www.imb.uq.edu.au/groups/smythe/tran上获得),该程序在输入要合成的环肽列表后,去除循环冗余序列并计算合成策略,从而最大限度地减少合成步骤和试剂要求。合成步骤和试剂的要求可以通过寻找共同子集的序列内块合成最小化。由于搜索最佳综合策略的蛮力方法不切实际,因此这里使用面向子集的方法来限制搜索的大小。
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Instructions to authors Author Index Keyword Index Volume contents New molecular surface-based 3D-QSAR method using Kohonen neural network and 3-way PLS
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