Worldwide Protein Data Bank biocuration supporting open access to high-quality 3D structural biology data.

Database URL: https://www.wwpdb.org/.

BioJava-ModFinder: identification of protein modifications in 3D structures from the Protein Data Bank.

SUMMARY: We developed a new software tool, BioJava-ModFinder, for identifying protein modifications observed in 3D structures archived in the Protein Data Bank (PDB). Information on more than 400 types of protein modifications were collected and curated from annotations in PDB, RESID, and PSI-MOD. We divided these modifications into three categories: modified residues, attachment modifications, and cross-links. We have developed a systematic method to identify these modifications in 3D protein structures. We have integrated this package with the RCSB PDB web application and added protein modification annotations to the sequence diagram and structure display. By scanning all 3D structures in the PDB using BioJava-ModFinder, we identified more than 30 000 structures with protein modifications, which can be searched, browsed, and visualized on the RCSB PDB website. AVAILABILITY AND IMPLEMENTATION: BioJava-ModFinder is available as open source (LGPL license) at ( https://github.com/biojava/biojava/tree/master/biojava-modfinder ). The RCSB PDB can be accessed at http://www.rcsb.org . CONTACT: pwrose@ucsd.edu.

OneDep: Unified wwPDB System for Deposition, Biocuration, and Validation of Macromolecular Structures in the PDB Archive.

OneDep, a unified system for deposition, biocuration, and validation of experimentally determined structures of biological macromolecules to the PDB archive, has been developed as a global collaboration by the worldwide PDB (wwPDB) partners. This new system was designed to ensure that the wwPDB could meet the evolving archiving requirements of the scientific community over the coming decades. OneDep unifies deposition, biocuration, and validation pipelines across all wwPDB, EMDB, and BMRB deposition sites with improved focus on data quality and completeness in these archives, while supporting growth in the number of depositions and increases in their average size and complexity. In this paper, we describe the design, functional operation, and supporting infrastructure of the OneDep system, and provide initial performance assessments.

Improving the representation of peptide-like inhibitor and antibiotic molecules in the Protein Data Bank.

With the accumulation of a large number and variety of molecules in the Protein Data Bank (PDB) comes the need on occasion to review and improve their representation. The Worldwide PDB (wwPDB) partners have periodically updated various aspects of structural data representation to improve the integrity and consistency of the archive. The remediation effort described here was focused on improving the representation of peptide-like inhibitor and antibiotic molecules so that they can be easily identified and analyzed. Peptide-like inhibitors or antibiotics were identified in over 1000 PDB entries, systematically reviewed and represented either as peptides with polymer sequence or as single components. For the majority of the single-component molecules, their peptide-like composition was captured in a new representation, called the subcomponent sequence. A novel concept called "group" was developed for representing complex peptide-like antibiotics and inhibitors that are composed of multiple polymer and nonpolymer components. In addition, a reference dictionary was developed with detailed information about these peptide-like molecules to aid in their annotation, identification and analysis. Based on the experience gained in this remediation, guidelines, procedures, and tools were developed to annotate new depositions containing peptide-like inhibitors and antibiotics accurately and consistently.

Chemical annotation of small and peptide-like molecules at the Protein Data Bank.

Over the past decade, the number of polymers and their complexes with small molecules in the Protein Data Bank archive (PDB) has continued to increase significantly. To support scientific advancements and ensure the best quality and completeness of the data files over the next 10 years and beyond, the Worldwide PDB partnership that manages the PDB archive is developing a new deposition and annotation system. This system focuses on efficient data capture across all supported experimental methods. The new deposition and annotation system is composed of four major modules that together support all of the processing requirements for a PDB entry. In this article, we describe one such module called the Chemical Component Annotation Tool. This tool uses information from both the Chemical Component Dictionary and Biologically Interesting molecule Reference Dictionary to aid in annotation. Benchmark studies have shown that the Chemical Component Annotation Tool provides significant improvements in processing efficiency and data quality. Database URL: http://wwpdb.org.

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

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.

Quality assurance for the query and distribution systems of the RCSB Protein Data Bank.

The RCSB Protein Data Bank (RCSB PDB, www.pdb.org) is a key online resource for structural biology and related scientific disciplines. The website is used on average by 165,000 unique visitors per month, and more than 2000 other websites link to it. The amount and complexity of PDB data as well as the expectations on its usage are growing rapidly. Therefore, ensuring the reliability and robustness of the RCSB PDB query and distribution systems are crucially important and increasingly challenging. This article describes quality assurance for the RCSB PDB website at several distinct levels, including: (i) hardware redundancy and failover, (ii) testing protocols for weekly database updates, (iii) testing and release procedures for major software updates and (iv) miscellaneous monitoring and troubleshooting tools and practices. As such it provides suggestions for how other websites might be operated.

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

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.

Integration of open access literature into the RCSB Protein Data Bank using BioLit.

BACKGROUND: Biological data have traditionally been stored and made publicly available through a variety of on-line databases, whereas biological knowledge has traditionally been found in the printed literature. With journals now on-line and providing an increasing amount of open access content, often free of copyright restriction, this distinction between database and literature is blurring. To exploit this opportunity we present the integration of open access literature with the RCSB Protein Data Bank (PDB). RESULTS: BioLit provides an enhanced view of articles with markup of semantic data and links to biological databases, based on the content of the article. For example, words matching to existing biological ontologies are highlighted and database identifiers are linked to their database of origin. Among other functions, it identifies PDB IDs that are mentioned in the open access literature, by parsing the full text for all research articles in PubMed Central (PMC) and exposing the results as simple XML Web Services. Here, we integrate BioLit results with the RCSB PDB website by using these services to find PDB IDs that are mentioned in research articles and subsequently retrieving abstract, figures, and text excerpts for those articles. A new RCSB PDB literature view permits browsing through the figures and abstracts of the articles that mention a given structure. The BioLit Web Services that are providing the underlying data are publicly accessible. A client library is provided that supports querying these services (Java). CONCLUSIONS: The integration between literature and websites, as demonstrated here with the RCSB PDB, provides a broader view for how a given structure has been analyzed and used. This approach detects the mention of a PDB structure even if it is not formally cited in the paper. Other structures related through the same literature references can also be identified, possibly providing new scientific insight. To our knowledge this is the first time that database and literature have been integrated in this way and it speaks to the opportunities afforded by open and free access to both database and literature content.

Stochastic differential equation approach for waves in a random medium.

We present a mathematical approach that simplifies the theoretical treatment of electromagnetic localization in random media and leads to closed-form analytical solutions. Starting with the assumption that the dielectric permittivity of the medium has delta-correlated spatial fluctuations, and using Ito's lemma, we derive a linear stochastic differential equation for a one-dimensional random medium. The equation leads to localized wave solutions. The localized wave solutions have a localization length that scales as L approximately omega(-2) for low frequencies whereas in the high-frequency regime this length behaves as L approximately omega(-2/3) .

Remediation of the protein data bank archive.

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.

Using MSDchem to search the PDB ligand dictionary.

The PDB ligand dictionary is the chemical reference database of all the small building block molecules (e.g., amino acids, nucleic acids, and bound ligands) in the Protein Data Bank (PDB) referenced by a distinct three-letter code identifier. Since PDB files have only three-dimensional coordinate data, the role of the dictionary that of a reference resource for the actual chemical properties of small molecules, shared consistently across all PDB entries. The ligand dictionary is maintained in all sites of the Worldwide Protein Data Bank (wwPDB), the Research Collaboratory for Structural Bioinformatics (RCSB) in U.S., the Macromolecular Structure Database (MSD) in Europe, and the Protein Data Bank in Japan (PDBj), and it is exchanged on a regular basis. The MSD group at the European BioInformatics Institute (EBI) extends the dictionary into the MSDchem ligand database, which utilizes chemo-informatics packages and incorporates additional curation work. MSDchem is publicly available on the Web through the MSDchem search system, the functionality of which is described in more detail in this unit.

MSDsite: a database search and retrieval system for the analysis and viewing of bound ligands and active sites.

The three-dimensional environments of ligand binding sites have been derived from the parsing and loading of the PDB entries into a relational database. For each bound molecule the biological assembly of the quaternary structure has been used to determine all contact residues and a fast interactive search and retrieval system has been developed. Prosite pattern and short sequence search options are available together with a novel graphical query generator for inter-residue contacts. The database and its query interface are accessible from the Internet through a web server located at: http://www.ebi.ac.uk/msd-srv/msdsite.

A phase I-II study of docetaxel-ifosfamide-cisplatin (DIP) combination chemotherapy regimen in advanced nonsmall cell lung cancer.

In an attempt to develop more effective chemotherapy regimens in advanced nonsmall cell lung cancer (NSCLC), we evaluated docetaxel-ifosfamide-cisplatin (DIP) based on our previous experience with paclitaxel-ifosfamide-cisplatin. Patients with advanced NSCLC (stages III-IV), WHO-PS< or =2, no prior chemotherapy and unimpaired hematopoietic and organ function were eligible. Chemotherapy was administered in successive dose levels (DLs) and included docetaxel (80-100 mg/m2 day 1), ifosfamide (4-5 g/m2) and cisplatin (80-100 mg/m2), both divided over days 1 and 2 every 21 days. G-CSF (lenograstin) was administered from days 4-13. Fifty-five patients were accrued (phase I: 15; phase II: 40) and all are evaluable for response and toxicity: median age = 58 (40-72); PS = 1 (0-2); gender = 48 males, 7 females; stages IIIA = 8, IIIB = 19, IV = 28; and histologies were adenocarcinoma (29), squamous (20), large cell (6). Metastatic sites at diagnosis included lymph nodes (33), bone (8), liver (6), brain (6), lung nodules (9), adrenals (7) and soft tissue (1). The dose-limiting toxicity (DLT) was reached at DL4 (Docetaxel: 100 mg/m2-Ifosfamide: 5 g/m2-Cisplatin: 100 mg/m2) consisting of 2 cases of febrile neutropenia (FN), and DL3 (Docetaxel: 100 mg/m2-Ifosfamide: 5 g/m2-Cisplatin: 80 mg/m2) was considered as the maximum tolerated dose (MTD) and recommended for further phase II testing. Among evaluable patients in phase II, 31/46 (67%; CI = 54-81%) responded; 4 were complete responses, 27 partial responses, 12 with stable disease and 3 with progressive disease. The median response duration was 7 months (2-21+), median time to progression (TTP) 8 months (1-23+) and median overall survival (OS) 13 months (2-23+). The 1-year survival was 57%. Grade (Gr) 3/4 toxicities included neutropenia 39/46 with 27 developing Gr4 (< or =7 days) and 20% FN managed successfully with broad-spectrum antibiotics, thrombocytopenia Gr3 3/46-Gr4 1/46, no Gr3 neuropathy, Gr1-2 CNS toxicity in 12, no renal toxicity, 15 Gr2 myalgias, 17 Gr2 diarrhea and 10 Gr3 vomiting. In the present phase I-II study, DIP appears highly active and tolerable in advanced NSCLC in the outpatient setting. Randomized comparisons to current standard 2-drug regimens will be warranted.