立体化学在计算蛋白质构象的局部方法中的影响

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL Journal of Chemical Information and Modeling Pub Date : 2024-11-19 DOI:10.1021/acs.jcim.4c01232
Wagner da Rocha, Leo Liberti, Antonio Mucherino, Thérèse E Malliavin
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引用次数: 0

摘要

蛋白质结构预测通常基于局部构象信息和长程距离约束。这些约束条件可以从模板结构知识或无序系统物理学模型框架下的蛋白质序列比对分析中获得。然而,基于序列比对的方法在比对序列数量较少的情况下准确性有限。在这里,我们通过间隔分支和剪切算法,仅利用局部构象知识来推导蛋白质构象。计算效率与沿蛋白质序列的立体化学知识(键角和 ω 值)直接相关,特别是与扭转角 ω 的变化直接相关。如果蛋白质拓扑结构是由许多长程约束条件确定的,那么立体化学变化的影响就特别大,β 二级结构的蛋白质就是这种情况。对构象的系统列举提高了计算效率。通过分析 DNA 密码子,可以将扭转角 ω 的变化与稀有 DNA 密码子的位置联系起来。
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Influence of Stereochemistry in a Local Approach for Calculating Protein Conformations.

Protein structure prediction is generally based on the use of local conformational information coupled with long-range distance restraints. Such restraints can be derived from the knowledge of a template structure or the analysis of protein sequence alignment in the framework of models arising from the physics of disordered systems. The accuracy of approaches based on sequence alignment, however, is limited in the case where the number of aligned sequences is small. Here, we derive protein conformations using only local conformations knowledge by means of the interval Branch-and-Prune algorithm. The computation efficiency is directly related to the knowledge of stereochemistry (bond angle and ω values) along the protein sequence and, in particular, to the variations of the torsion angle ω. The impact of stereochemistry variations is particularly strong in the case of protein topologies defined from numerous long-range restraints, as in the case of protein of β secondary structures. The systematic enumeration of the conformations improves the efficiency of the calculations. The analysis of DNA codons permits to connect the variations of torsion angle ω to the positions of rare DNA codons.

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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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