Coulombic interactions between partially charged main-chain atoms not hydrogen-bonded to each other influence the conformations of α-helices and antiparallel β-sheet. A new method for analysing the forces between hydrogen bonding groups in proteins includes all the Coulombic interactions

IF 4.5 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Molecular Biology Pub Date : 1995-01-01 DOI:10.1016/S0022-2836(95)80056-5
Peter H. Maccallum , Ron Poet , E. James Milner-White
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Abstract

An angle named γ has been employed to describe the geometry at a hydrogen bond between main-chain atoms of polypeptides. In antiparallel β-sheet, γ is normally positive, whereas, in parallel β-sheet and α-helices, it is negative. Although intriguing, no particular explanation has been offered to explain this result. We provide evidence that, in each case, the angular preference maximises the favourable Coulombic interaction between the partial negative charge on the carbonyl oxygen atom and the partial positive charge on the carbonyl carbon atom adjacent to the NH group to which it is hydrogen-bonded. Analyses of helices and β-sheets in native proteins using Lennard-Jones potentials suggest that these carbonyl-carbonyl interactions are significant components of the attractive forces holding main-chain CONH groups together and are even in some cases larger than the hydrogen bonds themselves.
A novel technique for analysing the forces holding together hydrogen bonding groups in proteins is presented. It can be regarded as a development of the Kabsch and Sander method of calculating the energy of hydrogen bonds between main-chain atoms. In their program, electrostatic interactions are calculated between appropriate pairs of atoms, i.e. NH binding to CO. Instead, in our method, the four N, H, C, and O atoms, in a peptide bond are taken as a unit and the interaction between two NHCO groups calculated. We also use a Lennard-Jones potential, rather than just measuring the Coulombic interaction. With this approach, account is taken of all types of interactions between partially charged atoms, not only the hydrogen bonds.
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非氢键的部分带电主链原子之间的库仑相互作用影响α-螺旋和反平行β-片的构象。一种分析蛋白质中氢键基团之间的力的新方法包含了所有的库仑相互作用
一个名为γ的角度被用来描述多肽主链原子之间氢键的几何形状。在反平行β-薄片中,γ通常为正,而在平行β-薄片和α-螺旋中,γ为负。虽然很有趣,但没有特别的解释来解释这一结果。我们提供的证据表明,在每种情况下,角偏好最大化有利的库仑相互作用之间的部分负电荷的羰基氧原子和部分正电荷的羰基碳原子相邻的NH基团,它是氢键。利用伦纳德-琼斯电位对天然蛋白质中的螺旋和β-薄片进行分析表明,这些羰基-羰基相互作用是将主链CONH基团结合在一起的吸引力的重要组成部分,在某些情况下甚至比氢键本身更大。提出了一种分析蛋白质中氢键基团的力的新方法。它可以看作是kbusch和Sander计算主链原子间氢键能量方法的发展。在他们的程序中,计算适当的原子对之间的静电相互作用,即NH与CO的结合。相反,在我们的方法中,以肽键中的四个N、H、C和O原子为单位,计算两个NHCO基团之间的相互作用。我们也使用伦纳德-琼斯势,而不是仅仅测量库仑相互作用。这种方法考虑了部分带电原子之间的所有类型的相互作用,而不仅仅是氢键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Molecular Biology
Journal of Molecular Biology 生物-生化与分子生物学
CiteScore
11.30
自引率
1.80%
发文量
412
审稿时长
28 days
期刊介绍: Journal of Molecular Biology (JMB) provides high quality, comprehensive and broad coverage in all areas of molecular biology. The journal publishes original scientific research papers that provide mechanistic and functional insights and report a significant advance to the field. The journal encourages the submission of multidisciplinary studies that use complementary experimental and computational approaches to address challenging biological questions. Research areas include but are not limited to: Biomolecular interactions, signaling networks, systems biology; Cell cycle, cell growth, cell differentiation; Cell death, autophagy; Cell signaling and regulation; Chemical biology; Computational biology, in combination with experimental studies; DNA replication, repair, and recombination; Development, regenerative biology, mechanistic and functional studies of stem cells; Epigenetics, chromatin structure and function; Gene expression; Membrane processes, cell surface proteins and cell-cell interactions; Methodological advances, both experimental and theoretical, including databases; Microbiology, virology, and interactions with the host or environment; Microbiota mechanistic and functional studies; Nuclear organization; Post-translational modifications, proteomics; Processing and function of biologically important macromolecules and complexes; Molecular basis of disease; RNA processing, structure and functions of non-coding RNAs, transcription; Sorting, spatiotemporal organization, trafficking; Structural biology; Synthetic biology; Translation, protein folding, chaperones, protein degradation and quality control.
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