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Dive into the research topics where Kim Henrick is active.

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Featured researches published by Kim Henrick.


Acta Crystallographica Section D-biological Crystallography | 2004

Secondary‐structure matching (SSM), a new tool for fast protein structure alignment in three dimensions

Evgeny B. Krissinel; Kim Henrick

The present paper describes the SSM algorithm of protein structure comparison in three dimensions, which includes an original procedure of matching graphs built on the proteins secondary-structure elements, followed by an iterative three-dimensional alignment of protein backbone Calpha atoms. The SSM results are compared with those obtained from other protein comparison servers, and the advantages and disadvantages of different scores that are used for structure recognition are discussed. A new score, balancing the r.m.s.d. and alignment length Nalign, is proposed. It is found that different servers agree reasonably well on the new score, while showing considerable differences in r.m.s.d. and Nalign.


Nucleic Acids Research | 2007

The worldwide Protein Data Bank (wwPDB): ensuring a single, uniform archive of PDB data

Helen M. Berman; Kim Henrick; Haruki Nakamura; John L. Markley

The worldwide Protein Data Bank (wwPDB) is the international collaboration that manages the deposition, processing and distribution of the PDB archive. The online PDB archive is a repository for the coordinates and related information for more than 38u2009000 structures, including proteins, nucleic acids and large macromolecular complexes that have been determined using X-ray crystallography, NMR and electron microscopy techniques. The founding members of the wwPDB are RCSB PDB (USA), MSD-EBI (Europe) and PDBj (Japan) [H.M. Berman, K. Henrick and H. Nakamura (2003) Nature Struct. Biol., 10, 980]. The BMRB group (USA) joined the wwPDB in 2006. The mission of the wwPDB is to maintain a single archive of macromolecular structural data that are freely and publicly available to the global community. Additionally, the wwPDB provides a variety of services to a broad community of users. The wwPDB website at provides information about services provided by the individual member organizations and about projects undertaken by the wwPDB.


Trends in Biochemical Sciences | 1998

PQS: a protein quaternary structure file server

Kim Henrick; Janet M. Thornton

Part of the procedure outlined here uses a modification to the WHATIF program specially written for this purpose by R. Hooft at EMBL Heidelberg. J. Westbrook of the Nucleic Acid Data Base group at the University of Rutgers (http:// ndbserver.rutgers.edu) made available a machine-readable list of the quaternary states for all nucleic acid and protein–nucleic acid complexes held in the PDB that was used in the annotation and checking stage described here.


Proteins | 2003

CAPRI: A Critical Assessment of PRedicted Interactions

Joël Janin; Kim Henrick; John Moult; Lynn F. Ten Eyck; Michael J. E. Sternberg; Sandor Vajda; Ilya A. Vakser

CAPRI is a communitywide experiment to assess the capacity of protein‐docking methods to predict protein–protein interactions. Nineteen groups participated in rounds 1 and 2 of CAPRI and submitted blind structure predictions for seven protein–protein complexes based on the known structure of the component proteins. The predictions were compared to the unpublished X‐ray structures of the complexes. We describe here the motivations for launching CAPRI, the rules that we applied to select targets and run the experiment, and some conclusions that can already be drawn. The results stress the need for new scoring functions and for methods handling the conformation changes that were observed in some of the target systems. CAPRI has already been a powerful drive for the community of computational biologists who development docking algorithms. We hope that this issue of Proteins will also be of interest to the community of structural biologists, which we call upon to provide new targets for future rounds of CAPRI, and to all molecular biologists who view protein–protein recognition as an essential process. Proteins 2003;52:2–9.


Proteins | 2000

Discriminating between homodimeric and monomeric proteins in the crystalline state

Hannes Ponstingl; Kim Henrick; Janet M. Thornton

Scores calculated from intermolecular contacts of proteins in the crystalline state are used to differentiate monomeric and homodimeric proteins, by classification into two categories separated by a cut‐off score value. The generalized classification error is estimated by using bootstrap re‐sampling on a nonredundant set of 172 water‐soluble proteins whose prevalent quaternary state in solution is known to be either monomeric or homodimeric. A statistical potential, based on atom‐pair frequencies across interfaces observed with homodimers, is found to yield an error rate of 12.5%. This indicates a small but significant improvement over the measure of solvent accessible surface area buried in the contact interface, which achieves an error rate of 15.4%. A further modification of the latter parameter relating the two most extensive contacts of the crystal results in an even lower error rate of 11.1%. Proteins 2000;41:47–57.


Lecture Notes in Computer Science | 2005

Detection of protein assemblies in crystals

Evgeny B. Krissinel; Kim Henrick

The paper describes a new approach to the prediction of probable biological units from protein structures obtained by means of protein crystallography. The method first employs graph-theoretical technique in order to find all possible assemblies in crystal. In second step, found assemblies are analysed for chemical stability and only stable oligomers are left as a potential solution. We also discuss theoretical models for the assessment of protein affinity and entropy loss on complex formation, used in stability analysis.


Nucleic Acids Research | 2004

E-MSD: an integrated data resource for bioinformatics

Adel Golovin; Thomas J. Oldfield; John G. Tate; Samir S. Velankar; Geoffrey J. Barton; Harry Boutselakis; Dimitris Dimitropoulos; Joël Fillon; A. Hussain; John Ionides; Melford John; Peter A. Keller; Evgeny B. Krissinel; P. McNeil; Avi Naim; Richard Newman; Anne Pajon; Jorge Pineda; Abdel-Krim Rachedi; J. Copeland; Andrey Sitnov; Siamak Sobhany; Antonio Suarez-Uruena; G. J. Swaminathan; Mohammed Tagari; Swen Tromm; Wim F. Vranken; Kim Henrick

The Macromolecular Structure Database (MSD) group (http://www.ebi.ac.uk/msd/) continues to enhance the quality and consistency of macromolecular structure data in the Protein Data Bank (PDB) and to work towards the integration of various bioinformatics data resources. We have implemented a simple form-based interface that allows users to query the MSD directly. The MSD atlas pages show all of the information in the MSD for a particular PDB entry. The group has designed new search interfaces aimed at specific areas of interest, such as the environment of ligands and the secondary structures of proteins. We have also implemented a novel search interface that begins to integrate separate MSD search services in a single graphical tool. We have worked closely with collaborators to build a new visualization tool that can present both structure and sequence data in a unified interface, and this data viewer is now used throughout the MSD services for the visualization and presentation of search results. Examples showcasing the functionality and power of these tools are available from tutorial webpages (http://www. ebi.ac.uk/msd-srv/docs/roadshow_tutorial/).


Nucleic Acids Research | 2011

EMDataBank.org: unified data resource for CryoEM

Catherine L. Lawson; M.L. Baker; Christoph Best; Chunxiao Bi; Matthew Dougherty; Powei Feng; Glen van Ginkel; Batsal Devkota; Ingvar Lagerstedt; Steven J. Ludtke; Richard Newman; Thomas J. Oldfield; Ian Rees; Gaurav Sahni; Raul Sala; Sameer Velankar; Joe D. Warren; John D. Westbrook; Kim Henrick; Gerard J. Kleywegt; Helen M. Berman; Wah Chiu

Cryo-electron microscopy reconstruction methods are uniquely able to reveal structures of many important macromolecules and macromolecular complexes. EMDataBank.org, a joint effort of the Protein Data Bank in Europe (PDBe), the Research Collaboratory for Structural Bioinformatics (RCSB) and the National Center for Macromolecular Imaging (NCMI), is a global ‘one-stop shop’ resource for deposition and retrieval of cryoEM maps, models and associated metadata. The resource unifies public access to the two major archives containing EM-based structural data: EM Data Bank (EMDB) and Protein Data Bank (PDB), and facilitates use of EM structural data of macromolecules and macromolecular complexes by the wider scientific community.


Bioinformatics | 2005

PDBML: the representation of archival macromolecular structure data in XML

John D. Westbrook; Nobutoshi Ito; Haruki Nakamura; Kim Henrick; Helen M. Berman

SUMMARYnThe Protein Data Bank (PDB) has recently released versions of the PDB Exchange dictionary and the PDB archival data files in XML format collectively named PDBML. The automated generation of these XML files is driven by the data dictionary infrastructure in use at the PDB. The correspondences between the PDB dictionary and the XML schema metadata are described as well as the XML representations of PDB dictionaries and data files.


Nucleic Acids Research | 2007

Remediation of the protein data bank archive

Kim Henrick; Zukang Feng; Wolfgang F. Bluhm; Dimitris Dimitropoulos; Jurgen F. Doreleijers; Shuchismita Dutta; Judith L. Flippen-Anderson; John Ionides; Chisa Kamada; Eugene Krissinel; Catherine L. Lawson; John L. Markley; Haruki Nakamura; Richard Newman; Yukiko Shimizu; Jawahar Swaminathan; Sameer Velankar; Jeramia Ory; Eldon L. Ulrich; Wim F. Vranken; John D. Westbrook; Reiko Yamashita; Huanwang Yang; Jasmine Young; Muhammed Yousufuddin; Helen M. Berman

The Worldwide Protein Data Bank (wwPDB; wwpdb.org) is the international collaboration that manages the deposition, processing and distribution of the PDB archive. The online PDB archive at ftp://ftp.wwpdb.org is the repository for the coordinates and related information for more than 47 000 structures, including proteins, nucleic acids and large macromolecular complexes that have been determined using X-ray crystallography, NMR and electron microscopy techniques. The members of the wwPDB–RCSB PDB (USA), MSD-EBI (Europe), PDBj (Japan) and BMRB (USA)–have remediated this archive to address inconsistencies that have been introduced over the years. The scope and methods used in this project are presented.

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John Ionides

European Bioinformatics Institute

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John L. Markley

University of Wisconsin-Madison

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Adel Golovin

European Bioinformatics Institute

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Evgeny B. Krissinel

European Bioinformatics Institute

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Sameer Velankar

European Bioinformatics Institute

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Dimitris Dimitropoulos

European Bioinformatics Institute

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G. J. Swaminathan

Wellcome Trust Sanger Institute

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