Correlation between ω and ψ Dihedral Angles in Protein Structures

2005 ◽  
Vol 347 (3) ◽  
pp. 483-487 ◽  
Author(s):  
Luciana Esposito ◽  
Alfonso De Simone ◽  
Adriana Zagari ◽  
Luigi Vitagliano
2013 ◽  
Vol 8 (1) ◽  
pp. 5 ◽  
Author(s):  
Xuefeng Cui ◽  
Shuai Cheng Li ◽  
Dongbo Bu ◽  
Babak Alipanahi ◽  
Ming Li

2016 ◽  
Author(s):  
Nicole Balasco ◽  
Luciana Esposito ◽  
Luigi Vitagliano

The definition of the structural basis of the conformational preferences of the genetically encoded aminoacid residues is crucial to decipher the physical code of protein folding and would have a huge impact on our understanding of protein structure and function. Indeed, although a large number of computational and experimental investigations have highlighted that the different protein residues show distinct conformational propensities, none of the current hypotheses is able to satisfactorily explain these preferences. In the last decades, we and others have clearly demonstrated that several geometrical parameters of protein backbone (bond angles, peptide bond distortions from planarity, and pyramidalization of the carbonyl carbon atom) are heavily dependent on the local conformation (φ/ψ dihedral angles) [1-8]. Moreover, a correlation between bond distances such as CO and CN has been detected in ultrahigh resolution protein structures [9]. Concerning bond angles, most of these investigations have been focused on the NCαC (τ) angle, shown to be significantly affected by both φ/ψ dihedral angles. In this framework, we here evaluated the impact of the local geometry on the residues conformational preferences by performing statistical analyses on a dataset of non-redundant protein chains selected from the Protein data Bank (PDB). Our data highlight a clear link between residue conformational preferences and local geometry. References 1. Karplus PA. Protein Sci. 1996; 5:1406-20. 2. Berkholz DS, Shapovalov MV, Dunbrack RL Jr, Karplus PA. Structure, 2009;17:1316-25. 3. Esposito L, Balasco N, De Simone A, Berisio R, Vitagliano L. Biomed Res Int, 2013;2013:326914. 4. Improta, R., L. Vitagliano, and L. Esposito, Proteins, 2015; 83:1973-86. 5. Improta, R., L. Vitagliano, and L. Esposito, Acta crystallographica D, 2015; 71:1272-83. 6. Esposito L, De Simone A, Zagari A, Vitagliano L. J Mol Biol, 2005; 347:483-7. 7. Berkholz DS, Driggers CM, Shapovalov MV, Dunbrack RL Jr, Karplus PA. Proc Natl Acad Sci, 2012;109:449-53. 8. Esposito L, Vitagliano L, Zagari A, Mazzarella L. Protein Sci, 2000; 9:2038-42. 9. Esposito L, Vitagliano L, Zagari A, Mazzarella L. Protein Eng, 2000; 13:825-8


Author(s):  
Xuefeng Cui ◽  
Shuai Cheng Li ◽  
Dongbo Bu ◽  
Babak Alipanahi Ramandi ◽  
Ming Li

2003 ◽  
Vol 36 (1) ◽  
pp. 34-42 ◽  
Author(s):  
John P. Priestle

Because of the relatively low-resolution diffraction of typical protein crystals, structure refinement is usually carried out employing stereochemical restraints to increase the effective number of observations. Well defined values for bond lengths and angles are available from small-molecule crystal structures. Such values do not exist for dihedral angles because of the concern that the strong crystal contacts in small-molecule crystal structures could distort the dihedral angles. This paper examines the dihedral-angle distributions in ultra-high-resolution protein structures (1.2 Å or better) as a means of analysing the population frequencies of dihedral angles in proteins and compares these with the stereochemical restraints currently used in one of the more widely used molecular-dynamics refinement packages,X-PLOR, and its successor,CNS. Discrepancies between the restraints used in these programs and what is actually seen in high-resolution protein structures are examined and an improved set of dihedral-angle restraint parameters are derived from these inspections.


2016 ◽  
Author(s):  
Nicole Balasco ◽  
Luciana Esposito ◽  
Luigi Vitagliano

The definition of the structural basis of the conformational preferences of the genetically encoded aminoacid residues is crucial to decipher the physical code of protein folding and would have a huge impact on our understanding of protein structure and function. Indeed, although a large number of computational and experimental investigations have highlighted that the different protein residues show distinct conformational propensities, none of the current hypotheses is able to satisfactorily explain these preferences. In the last decades, we and others have clearly demonstrated that several geometrical parameters of protein backbone (bond angles, peptide bond distortions from planarity, and pyramidalization of the carbonyl carbon atom) are heavily dependent on the local conformation (φ/ψ dihedral angles) [1-8]. Moreover, a correlation between bond distances such as CO and CN has been detected in ultrahigh resolution protein structures [9]. Concerning bond angles, most of these investigations have been focused on the NCαC (τ) angle, shown to be significantly affected by both φ/ψ dihedral angles. In this framework, we here evaluated the impact of the local geometry on the residues conformational preferences by performing statistical analyses on a dataset of non-redundant protein chains selected from the Protein data Bank (PDB). Our data highlight a clear link between residue conformational preferences and local geometry. References 1. Karplus PA. Protein Sci. 1996; 5:1406-20. 2. Berkholz DS, Shapovalov MV, Dunbrack RL Jr, Karplus PA. Structure, 2009;17:1316-25. 3. Esposito L, Balasco N, De Simone A, Berisio R, Vitagliano L. Biomed Res Int, 2013;2013:326914. 4. Improta, R., L. Vitagliano, and L. Esposito, Proteins, 2015; 83:1973-86. 5. Improta, R., L. Vitagliano, and L. Esposito, Acta crystallographica D, 2015; 71:1272-83. 6. Esposito L, De Simone A, Zagari A, Vitagliano L. J Mol Biol, 2005; 347:483-7. 7. Berkholz DS, Driggers CM, Shapovalov MV, Dunbrack RL Jr, Karplus PA. Proc Natl Acad Sci, 2012;109:449-53. 8. Esposito L, Vitagliano L, Zagari A, Mazzarella L. Protein Sci, 2000; 9:2038-42. 9. Esposito L, Vitagliano L, Zagari A, Mazzarella L. Protein Eng, 2000; 13:825-8


2019 ◽  
Vol 476 (24) ◽  
pp. 3835-3847 ◽  
Author(s):  
Aliyath Susmitha ◽  
Kesavan Madhavan Nampoothiri ◽  
Harsha Bajaj

Most Gram-positive bacteria contain a membrane-bound transpeptidase known as sortase which covalently incorporates the surface proteins on to the cell wall. The sortase-displayed protein structures are involved in cell attachment, nutrient uptake and aerial hyphae formation. Among the six classes of sortase (A–F), sortase A of S. aureus is the well-characterized housekeeping enzyme considered as an ideal drug target and a valuable biochemical reagent for protein engineering. Similar to SrtA, class E sortase in GC rich bacteria plays a housekeeping role which is not studied extensively. However, C. glutamicum ATCC 13032, an industrially important organism known for amino acid production, carries a single putative sortase (NCgl2838) gene but neither in vitro peptide cleavage activity nor biochemical characterizations have been investigated. Here, we identified that the gene is having a sortase activity and analyzed its structural similarity with Cd-SrtF. The purified enzyme showed a greater affinity toward LAXTG substrate with a calculated KM of 12 ± 1 µM, one of the highest affinities reported for this class of enzyme. Moreover, site-directed mutation studies were carried to ascertain the structure functional relationship of Cg-SrtE and all these are new findings which will enable us to perceive exciting protein engineering applications with this class of enzyme from a non-pathogenic microbe.


1970 ◽  
Vol 19 (2) ◽  
pp. 217-226
Author(s):  
S. M. Minhaz Ud-Dean ◽  
Mahdi Muhammad Moosa

Protein structure prediction and evaluation is one of the major fields of computational biology. Estimation of dihedral angle can provide information about the acceptability of both theoretically predicted and experimentally determined structures. Here we report on the sequence specific dihedral angle distribution of high resolution protein structures available in PDB and have developed Sasichandran, a tool for sequence specific dihedral angle prediction and structure evaluation. This tool will allow evaluation of a protein structure in pdb format from the sequence specific distribution of Ramachandran angles. Additionally, it will allow retrieval of the most probable Ramachandran angles for a given sequence along with the sequence specific data. Key words: Torsion angle, φ-ψ distribution, sequence specific ramachandran plot, Ramasekharan, protein structure appraisal D.O.I. 10.3329/ptcb.v19i2.5439 Plant Tissue Cult. & Biotech. 19(2): 217-226, 2009 (December)


2020 ◽  
Author(s):  
Maximilian Kuhn ◽  
Stuart Firth-Clark ◽  
Paolo Tosco ◽  
Antonia S. J. S. Mey ◽  
Mark Mackey ◽  
...  

Free energy calculations have seen increased usage in structure-based drug design. Despite the rising interest, automation of the complex calculations and subsequent analysis of their results are still hampered by the restricted choice of available tools. In this work, an application for automated setup and processing of free energy calculations is presented. Several sanity checks for assessing the reliability of the calculations were implemented, constituting a distinct advantage over existing open-source tools. The underlying workflow is built on top of the software Sire, SOMD, BioSimSpace and OpenMM and uses the AMBER14SB and GAFF2.1 force fields. It was validated on two datasets originally composed by Schrödinger, consisting of 14 protein structures and 220 ligands. Predicted binding affinities were in good agreement with experimental values. For the larger dataset the average correlation coefficient Rp was 0.70 ± 0.05 and average Kendall’s τ was 0.53 ± 0.05 which is broadly comparable to or better than previously reported results using other methods. <br>


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