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      Characterizing the complexity of enzymes on the basis of their mechanisms and structures with a bio-computational analysis

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          Abstract

          Enzymes are basically composed of 20 naturally occurring amino acids, yet they catalyse a dizzying array of chemical reactions, with regiospecificity and stereospecificity and under physiological conditions. In this review, we attempt to gain some understanding of these complex proteins, from the chemical versatility of the catalytic toolkit, including the use of cofactors (both metal ions and organic molecules), to the complex mapping of reactions to proteins (which is rarely one-to-one), and finally the structural complexity of enzymes and their active sites, often involving multidomain or multisubunit assemblies. This work highlights how the enzymes that we see today reflect millions of years of evolution, involving de novo design followed by exquisite regulation and modulation to create optimal fitness for life.

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          Most cited references41

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          Profile hidden Markov models.

          S. Eddy (1998)
          The recent literature on profile hidden Markov model (profile HMM) methods and software is reviewed. Profile HMMs turn a multiple sequence alignment into a position-specific scoring system suitable for searching databases for remotely homologous sequences. Profile HMM analyses complement standard pairwise comparison methods for large-scale sequence analysis. Several software implementations and two large libraries of profile HMMs of common protein domains are available. HMM methods performed comparably to threading methods in the CASP2 structure prediction exercise.
            • Record: found
            • Abstract: found
            • Article: not found

            The Pfam protein families database.

            Pfam is a large collection of protein families and domains. Over the past 2 years the number of families in Pfam has doubled and now stands at 6190 (version 10.0). Methodology improvements for searching the Pfam collection locally as well as via the web are described. Other recent innovations include modelling of discontinuous domains allowing Pfam domain definitions to be closer to those found in structure databases. Pfam is available on the web in the UK (http://www.sanger.ac.uk/Software/Pfam/), the USA (http://pfam.wustl.edu/), France (http://pfam.jouy.inra.fr/) and Sweden (http://Pfam.cgb.ki.se/).
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Data growth and its impact on the SCOP database: new developments

              The Structural Classification of Proteins (SCOP) database is a comprehensive ordering of all proteins of known structure, according to their evolutionary and structural relationships. The SCOP hierarchy comprises the following levels: Species, Protein, Family, Superfamily, Fold and Class. While keeping the original classification scheme intact, we have changed the production of SCOP in order to cope with a rapid growth of new structural data and to facilitate the discovery of new protein relationships. We describe ongoing developments and new features implemented in SCOP. A new update protocol supports batch classification of new protein structures by their detected relationships at Family and Superfamily levels in contrast to our previous sequential handling of new structural data by release date. We introduce pre-SCOP, a preview of the SCOP developmental version that enables earlier access to the information on new relationships. We also discuss the impact of worldwide Structural Genomics initiatives, which are producing new protein structures at an increasing rate, on the rates of discovery and growth of protein families and superfamilies. SCOP can be accessed at http://scop.mrc-lmb.cam.ac.uk/scop.

                Author and article information

                Journal
                FEBS J
                febs
                The Febs Journal
                Blackwell Publishing Ltd
                1742-464X
                1742-4658
                October 2011
                : 278
                : 20
                : 3835-3845
                Affiliations
                [1 ]simpleEMBL-EBI, Wellcome Trust Genome Campus Cambridge, UK
                [2 ]simpleBiomedical Sciences Research Complex and EaStCHEM School of Chemistry, University of St Andrews UK
                Author notes
                G. L. Holliday, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UKFax: +44 1223 494496Tel: +44 1223 492535E-mail: gemma@ 123456ebi.ac.uk Website: http://www.ebi.ac.uk/thornton-srv/databases/MACiE/
                Article
                10.1111/j.1742-4658.2011.08190.x
                3258480
                21605342
                876195e6-e369-4356-bb74-e3f50fdf0d9c
                Journal compilation © 2011 Federation of European Biochemical Societies

                Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.

                History
                : 05 April 2011
                : 16 May 2011
                : 20 May 2011
                Categories
                Special Issue

                Molecular biology
                enzyme,macie,catalysis,mechanism,active sites,structure,specificity,evolution
                Molecular biology
                enzyme, macie, catalysis, mechanism, active sites, structure, specificity, evolution

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