PROCHECK: a program to check the stereochemical quality of protein structures. The PROCHECK suite of programs provides a detailed check on the stereochemistry of a protein structure. Its outputs comprise a number of plots in PostScript format and a comprehensive residue-by-residue listing. These give an assessment of the overall quality of the structure as compared with well refined structures of the same resolution and also highlight regions that may need further investigation. The PROCHECK programs are useful for assessing the quality not only of protein structures in the process of being solved but also of existing structures and of those being modelled on known structures.

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  1. Anupama, Rani; Lulu, Sajitha; Madhusmita, Rout; Vino, Sundararajan; Mukherjee, Amitava; Babu, Subramanian: Insights into the interaction of key biofilm proteins in \textitPseudomonasaeruginosa PAO1 with TiO(_2) nanoparticle: an \textitinsilico analysis (2019)
  2. Rout, Subhashree; Mahapatra, Rajani Kanta: \textitInsilico analysis of \textitplasmodiumfalciparum CDPK5 protein through molecular modeling, docking and dynamics (2019)
  3. Carugo, Oliviero (ed.); Eisenhaber, Frank (ed.): Data mining techniques for the life sciences (2016)
  4. Samal, Himanshu Bhusan; Prava, Jyoti; Suar, Mrutyunjay; Mahapatra, Rajani Kanta: Comparative genomics study of \textitSalmonellaTyphimurium LT2 for the identification of putative therapeutic candidates (2015)
  5. Dorn, Márcio; Buriol, Luciana S.; Lamb, Luis C.: MOIRAE: a computational strategy to extract and represent structural information from experimental protein templates (2014) ioport
  6. Fernández-Durán, Juan José; Gregorio-Domínguez, María Mercedes: Modeling angles in proteins and circular genomes using multivariate angular distributions based on multiple nonnegative trigonometric sums (2014)
  7. Kasabov, Nikola (ed.): Springer handbook of bio-/neuro-informatics (2014)
  8. Kumari, Sweta; Mohana Priya, Arumugam; Lulu, Sajitha; Tauqueer, Mohammad: Molecular modeling, simulation and virtual screening of ribosomal phosphoprotein P1 from \textitPlasmodiumfalciparum (2014)
  9. Nezafat, Navid; Ghasemi, Younes; Javadi, Gholamreza; Khoshnoud, Mohammad Javad; Omidinia, Eskandar: A novel multi-epitope peptide vaccine against cancer: an in silico approach (2014)
  10. Mardia, Kanti V.; Kent, John T.; Zhang, Zhengzheng; Taylor, Charles C.; Hamelryck, Thomas: Mixtures of concentrated multivariate sine distributions with applications to bioinformatics (2012)
  11. Sierra Bello, Omar; Gonzalez, Janneth; Capani, Francisco; Barreto, George E.: In silico docking reveals possible riluzole binding sites on Nav1.6 sodium channel: implications for amyotrophic lateral sclerosis therapy (2012)
  12. Taylor, Charles C.; Mardia, Kanti V.; Di Marzio, Marco; Panzera, Agnese: Validating protein structure using kernel density estimates (2012)
  13. Di Luccio, Eric; Koehl, Patrice: A quality metric for homology modeling: the H-factor (2011) ioport
  14. Kharabian, Ardashir: An efficient computational method for screening functional SNPs in plants (2010)
  15. Kushwaha, Sandeep K.; Shakya, Madhvi: Protein interaction network analysis -- approach for potential drug target identification in \textitMycobacteriumtuberculosis (2010)
  16. Mucherino, Antonio; Costantini, Susan; di Serafino, Daniela; D’Apuzzo, Marco; Facchiano, Angelo; Colonna, Giovanni: Understanding the role of the topology in protein folding by computational inverse folding experiments (2008)
  17. Costantini, S.; Colonna, G.; Facchiano, A. M.: Simulation of conformational changes occurring when a protein interacts with its receptor (2007)
  18. Mcguffin, Liam J.: Benchmarking consensus model quality assessment for protein fold recognition (2007) ioport
  19. Zuo, Zhili; Gang, Chen; Zou, Hanjun; Mok, Puah Chum; Zhu, Weiliang; Chen, Kaixian; Jiang, Hualiang: Why does (\beta)-secretase zymogen possess catalytic activity? Molecular modeling and molecular dynamics simulation studies (2007)
  20. Bagchi, Angshuman; Ghosh, Tapash Chandra: Structural study of two proteins SigE and ORF1 to predict their roles in the biochemical oxidation of sulfur anions via the global sulfur oxidation operon (sox) (2006)

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