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Featured researches published by Jasmine Young.


Nucleic Acids Research | 2011

The RCSB Protein Data Bank: redesigned web site and web services

Peter W. Rose; Bojan Beran; Chunxiao Bi; Wolfgang F. Bluhm; Dimitris Dimitropoulos; David S. Goodsell; Andreas Prlić; Martha Quesada; Gregory B. Quinn; John D. Westbrook; Jasmine Young; Benjamin T. Yukich; Christine Zardecki; Helen M. Berman; Philip E. Bourne

The RCSB Protein Data Bank (RCSB PDB) web site (http://www.pdb.org) has been redesigned to increase usability and to cater to a larger and more diverse user base. This article describes key enhancements and new features that fall into the following categories: (i) query and analysis tools for chemical structure searching, query refinement, tabulation and export of query results; (ii) web site customization and new structure alerts; (iii) pair-wise and representative protein structure alignments; (iv) visualization of large assemblies; (v) integration of structural data with the open access literature and binding affinity data; and (vi) web services and web widgets to facilitate integration of PDB data and tools with other resources. These improvements enable a range of new possibilities to analyze and understand structure data. The next generation of the RCSB PDB web site, as described here, provides a rich resource for research and education.


Nucleic Acids Research | 2012

The RCSB Protein Data Bank: new resources for research and education

Peter W. Rose; Chunxiao Bi; Wolfgang F. Bluhm; Cole Christie; Dimitris Dimitropoulos; Shuchismita Dutta; Rachel Kramer Green; David S. Goodsell; Andreas Prlić; Martha Quesada; Gregory B. Quinn; Alexander G. Ramos; John D. Westbrook; Jasmine Young; Christine Zardecki; Helen M. Berman; Philip E. Bourne

The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) develops tools and resources that provide a structural view of biology for research and education. The RCSB PDB web site (http://www.rcsb.org) uses the curated 3D macromolecular data contained in the PDB archive to offer unique methods to access, report and visualize data. Recent activities have focused on improving methods for simple and complex searches of PDB data, creating specialized access to chemical component data and providing domain-based structural alignments. New educational resources are offered at the PDB-101 educational view of the main web site such as Author Profiles that display a researcher’s PDB entries in a timeline. To promote different kinds of access to the RCSB PDB, Web Services have been expanded, and an RCSB PDB Mobile application for the iPhone/iPad has been released. These improvements enable new opportunities for analyzing and understanding structure data.


Nucleic Acids Research | 2015

The RCSB Protein Data Bank: views of structural biology for basic and applied research and education.

Peter W. Rose; Andreas Prlić; Chunxiao Bi; Wolfgang F. Bluhm; Cole Christie; Shuchismita Dutta; Rachel Kramer Green; David S. Goodsell; John D. Westbrook; Jesse Woo; Jasmine Young; Christine Zardecki; Helen M. Berman; Philip E. Bourne; Stephen K. Burley

The RCSB Protein Data Bank (RCSB PDB, http://www.rcsb.org) provides access to 3D structures of biological macromolecules and is one of the leading resources in biology and biomedicine worldwide. Our efforts over the past 2 years focused on enabling a deeper understanding of structural biology and providing new structural views of biology that support both basic and applied research and education. Herein, we describe recently introduced data annotations including integration with external biological resources, such as gene and drug databases, new visualization tools and improved support for the mobile web. We also describe access to data files, web services and open access software components to enable software developers to more effectively mine the PDB archive and related annotations. Our efforts are aimed at expanding the role of 3D structure in understanding biology and medicine.


Structure | 2012

Outcome of the first electron microscopy validation task force meeting

Richard Henderson; Andrej Sali; Matthew L. Baker; Bridget Carragher; Batsal Devkota; Kenneth H. Downing; Edward H. Egelman; Zukang Feng; Joachim Frank; Nikolaus Grigorieff; Wen Jiang; Steven J. Ludtke; Ohad Medalia; Pawel A. Penczek; Peter B. Rosenthal; Michael G. Rossmann; Michael F. Schmid; Gunnar F. Schröder; Alasdair C. Steven; David L. Stokes; John D. Westbrook; Willy Wriggers; Huanwang Yang; Jasmine Young; Helen M. Berman; Wah Chiu; Gerard J. Kleywegt; Catherine L. Lawson

This Meeting Review describes the proceedings and conclusions from the inaugural meeting of the Electron Microscopy Validation Task Force organized by the Unified Data Resource for 3DEM (http://www.emdatabank.org) and held at Rutgers University in New Brunswick, NJ on September 28 and 29, 2010. At the workshop, a group of scientists involved in collecting electron microscopy data, using the data to determine three-dimensional electron microscopy (3DEM) density maps, and building molecular models into the maps explored how to assess maps, models, and other data that are deposited into the Electron Microscopy Data Bank and Protein Data Bank public data archives. The specific recommendations resulting from the workshop aim to increase the impact of 3DEM in biology and medicine.


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.


Nucleic Acids Research | 2017

The RCSB protein data bank: integrative view of protein, gene and 3D structural information

Peter W. Rose; Andreas Prlić; Ali Altunkaya; Chunxiao Bi; Anthony R. Bradley; Cole Christie; Luigi Di Costanzo; Jose M. Duarte; Shuchismita Dutta; Zukang Feng; Rachel Kramer Green; David S. Goodsell; Brian P. Hudson; Tara Kalro; Robert Lowe; Ezra Peisach; Christopher Randle; Alexander S. Rose; Chenghua Shao; Yi-Ping Tao; Yana Valasatava; Maria Voigt; John D. Westbrook; Jesse Woo; Huangwang Yang; Jasmine Young; Christine Zardecki; Helen M. Berman; Stephen K. Burley

The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB, http://rcsb.org), the US data center for the global PDB archive, makes PDB data freely available to all users, from structural biologists to computational biologists and beyond. New tools and resources have been added to the RCSB PDB web portal in support of a ‘Structural View of Biology.’ Recent developments have improved the User experience, including the high-speed NGL Viewer that provides 3D molecular visualization in any web browser, improved support for data file download and enhanced organization of website pages for query, reporting and individual structure exploration. Structure validation information is now visible for all archival entries. PDB data have been integrated with external biological resources, including chromosomal position within the human genome; protein modifications; and metabolic pathways. PDB-101 educational materials have been reorganized into a searchable website and expanded to include new features such as the Geis Digital Archive.


Molecular Biotechnology | 2009

Data Deposition and Annotation at the Worldwide Protein Data Bank

Shuchismita Dutta; Kyle Burkhardt; Jasmine Young; G. J. Swaminathan; Takanori Matsuura; Kim Henrick; Haruki Nakamura; Helen M. Berman

The Protein Data Bank (PDB) is the repository for three-dimensional structures of biological macromolecules, determined by experimental methods. The data in the archive is free and easily available via the Internet from any of the worldwide centers managing this global archive. These data are used by scientists, researchers, bioinformatics specialists, educators, students, and general audiences to understand biological phenomenon at a molecular level. Analysis of this structural data also inspires and facilitates new discoveries in science. This chapter describes the tools and methods currently used for deposition, processing, and release of data in the PDB. References to future enhancements are also included.


Proteins | 2007

A large data set comparison of protein structures determined by crystallography and NMR: Statistical test for structural differences and the effect of crystal packing

Michael Andrec; David A. Snyder; Zhiyong Zhou; Jasmine Young; Gaetano T. Montelione; Ronald M. Levy

The existence of a large number of proteins for which both nuclear magnetic resonance (NMR) and X‐ray crystallographic coordinates have been deposited into the Protein Data Bank (PDB) makes the statistical comparison of the corresponding crystal and NMR structural models over a large data set possible, and facilitates the study of the effect of the crystal environment and other factors on structure. We present an approach for detecting statistically significant structural differences between crystal and NMR structural models which is based on structural superposition and the analysis of the distributions of atomic positions relative to a mean structure. We apply this to a set of 148 protein structure pairs (crystal vs NMR), and analyze the results in terms of methodological and physical sources of structural difference. For every one of the 148 structure pairs, the backbone root‐mean‐square distance (RMSD) over core atoms of the crystal structure to the mean NMR structure is larger than the average RMSD of the members of the NMR ensemble to the mean, with 76% of the structure pairs having an RMSD of the crystal structure to the mean more than a factor of two larger than the average RMSD of the NMR ensemble. On average, the backbone RMSD over core atoms of crystal structure to the mean NMR is approximately 1 Å. If non‐core atoms are included, this increases to 1.4 Å due to the presence of variability in loops and similar regions of the protein. The observed structural differences are only weakly correlated with the age and quality of the structural model and differences in conditions under which the models were determined. We examine steric clashes when a putative crystalline lattice is constructed using a representative NMR structure, and find that repulsive crystal packing plays a minor role in the observed differences between crystal and NMR structures. The observed structural differences likely have a combination of physical and methodological causes. Stabilizing attractive interactions arising from intermolecular crystal contacts which shift the equilibrium of the crystal structure relative to the NMR structure is a likely physical source which can account for some of the observed differences. Methodological sources of apparent structural difference include insufficient sampling or other issues which could give rise to errors in the estimates of the precision and/or accuracy. Proteins 2007.


FEBS Letters | 2013

Trendspotting in the Protein Data Bank.

Helen M. Berman; Buvaneswari Coimbatore Narayanan; Luigi Di Costanzo; Shuchismita Dutta; Sutapa Ghosh; Brian P. Hudson; Catherine L. Lawson; Ezra Peisach; Andreas Prlić; Peter W. Rose; Chenghua Shao; Huanwang Yang; Jasmine Young; Christine Zardecki

The Protein Data Bank (PDB) was established in 1971 as a repository for the three dimensional structures of biological macromolecules. Since then, more than 85 000 biological macromolecule structures have been determined and made available in the PDB archive. Through analysis of the corpus of data, it is possible to identify trends that can be used to inform us abou the future of structural biology and to plan the best ways to improve the management of the ever‐growing amount of PDB data.


Bioinformatics | 2015

The chemical component dictionary: complete descriptions of constituent molecules in experimentally determined 3D macromolecules in the Protein Data Bank

John D. Westbrook; Chenghua Shao; Zukang Feng; Marina Zhuravleva; Sameer Velankar; Jasmine Young

UNLABELLED The Chemical Component Dictionary (CCD) is a chemical reference data resource that describes all residue and small molecule components found in Protein Data Bank (PDB) entries. The CCD contains detailed chemical descriptions for standard and modified amino acids/nucleotides, small molecule ligands and solvent molecules. Each chemical definition includes descriptions of chemical properties such as stereochemical assignments, chemical descriptors, systematic chemical names and idealized coordinates. The content, preparation, validation and distribution of this CCD chemical reference dataset are described. AVAILABILITY AND IMPLEMENTATION The CCD is updated regularly in conjunction with the scheduled weekly release of new PDB structure data. The CCD and amino acid variant reference datasets are hosted in the public PDB ftp repository at ftp://ftp.wwpdb.org/pub/pdb/data/monomers/components.cif.gz, ftp://ftp.wwpdb.org/pub/pdb/data/monomers/aa-variants-v1.cif.gz, and its mirror sites, and can be accessed from http://wwpdb.org. CONTACT [email protected]. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.

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Andreas Prlić

University of California

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Peter W. Rose

University of California

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