Biomacromolecular structural data make up a vital and crucial scientific resource that has grown not only in terms of its amount but also in its size and complexity. Furthermore, these data are accompanied by large and increasing amounts of experimental data. Additionally, the macromolecular data are enriched with value-added annotations describing their biological, physicochemical and structural properties. Today, the scientific community requires fast and fully interactive web visualization to exploit this complex structural information. This article provides a survey of the available cutting-edge web services that address this challenge. Specifically, it focuses on data-delivery problems, discusses the visualization of a single structure, including experimental data and annotations, and concludes with a focus on the results of molecular-dynamics simulations and the visualization of structural ensembles.

• Klíčová slova
• browser-based, data delivery, macromolecules, visualization, web-based,
• MeSH
• internet * MeSH
• makromolekulární látky chemie   MeSH
• počítačová grafika * MeSH
• software * MeSH
• uživatelské rozhraní počítače * MeSH
• Publikační typ
• časopisecké články MeSH
• Názvy látek
• makromolekulární látky MeSH

SUMMARY: Structures in PDB tend to contain errors. This is a very serious issue for authors that rely on such potentially problematic data. The community of structural biologists develops validation methods as countermeasures, which are also included in the PDB deposition system. But how are these validation efforts influencing the structure quality of subsequently published data? Which quality aspects are improving, and which remain problematic? We developed ValTrendsDB, a database that provides the results of an extensive exploratory analysis of relationships between quality criteria, size and metadata of biomacromolecules. Key input data are sourced from PDB. The discovered trends are presented via precomputed information-rich plots. ValTrendsDB also supports the visualization of a set of user-defined structures on top of general quality trends. Therefore, ValTrendsDB enables users to see the quality of structures published by selected author, laboratory or journal, discover quality outliers, etc. ValTrendsDB is updated weekly. AVAILABILITY AND IMPLEMENTATION: Freely accessible at http://ncbr.muni.cz/ValTrendsDB. The web interface was implemented in JavaScript. The database was implemented in C++. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

• MeSH
• databáze proteinů MeSH
• internet MeSH
• proteiny MeSH
• software * MeSH
• uživatelské rozhraní počítače MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Názvy látek
• proteiny MeSH

Realising the importance of assessing the quality of the biomolecular structures deposited in the Protein Data Bank (PDB), the Worldwide Protein Data Bank (wwPDB) partners established Validation Task Forces to obtain advice on the methods and standards to be used to validate structures determined by X-ray crystallography, nuclear magnetic resonance spectroscopy and three-dimensional electron cryo-microscopy. The resulting wwPDB validation pipeline is an integral part of the wwPDB OneDep deposition, biocuration and validation system. The wwPDB Validation Service webserver (https://validate.wwpdb.org) can be used to perform checks prior to deposition. Here, it is shown how validation metrics can be combined to produce an overall score that allows the ranking of macromolecular structures and domains in search results. The ValTrendsDB database provides users with a convenient way to access and analyse validation information and other properties of X-ray crystal structures in the PDB, including investigating trends in and correlations between different structure properties and validation metrics.

• Klíčová slova
• PDB, Protein Data Bank, X-ray crystallography, quality control, three-dimensional macromolecular structure, validation,
• MeSH
• databáze proteinů normy   MeSH
• datové kurátorství MeSH
• elektronová kryomikroskopie MeSH
• internet * MeSH
• konformace proteinů * MeSH
• lidé MeSH
• makromolekulární látky chemie   MeSH
• molekulární modely MeSH
• nukleární magnetická rezonance biomolekulární MeSH
• proteiny analýza   chemie   MeSH
• uživatelské rozhraní počítače * MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• validační studie MeSH
• Názvy látek
• makromolekulární látky MeSH
• proteiny MeSH

PDBsum is a web server providing structural information on the entries in the Protein Data Bank (PDB). The analyses are primarily image-based and include protein secondary structure, protein-ligand and protein-DNA interactions, PROCHECK analyses of structural quality, and many others. The 3D structures can be viewed interactively in RasMol, PyMOL, and a JavaScript viewer called 3Dmol.js. Users can upload their own PDB files and obtain a set of password-protected PDBsum analyses for each. The server is freely accessible to all at: http://www.ebi.ac.uk/pdbsum.

• Klíčová slova
• 3D protein structure, PDB, PDBsum, enzymes, molecular interactions, protein database, protein structure analysis, schematic diagrams,
• MeSH
• databáze proteinů * MeSH
• internet * MeSH
• molekulární modely * MeSH
• sekundární struktura proteinů * MeSH
• software * MeSH
• zobrazování trojrozměrné * MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

The Eighth Central European Conference "Chemistry towards Biology" was held in Brno, Czech Republic, on August 28-September 1, 2016 to bring together experts in biology, chemistry and design of bioactive compounds; promote the exchange of scientific results, methods and ideas; and encourage cooperation between researchers from all over the world. The topics of the conference covered "Chemistry towards Biology", meaning that the event welcomed chemists working on biology-related problems, biologists using chemical methods, and students and other researchers of the respective areas that fall within the common scope of chemistry and biology. The authors of this manuscript are plenary speakers and other participants of the symposium and members of their research teams. The following summary highlights the major points/topics of the meeting.

• Klíčová slova
• ADME, drug delivery systems, biological chemistry, biomaterials, chemical biology, drug design, nanoparticles, natural compounds, proteins and nucleic acids, synthesis, targeting,
• MeSH
• epigeneze genetická MeSH
• farmaceutická chemie metody   MeSH
• lékové transportní systémy MeSH
• proteiny chemie   MeSH
• racionální návrh léčiv MeSH
• systémová biologie MeSH
• vztahy mezi strukturou a aktivitou MeSH
• Publikační typ
• kongresy MeSH
• Názvy látek
• proteiny MeSH

Crystallographic studies of ligands bound to biological macromolecules (proteins and nucleic acids) represent an important source of information concerning drug-target interactions, providing atomic level insights into the physical chemistry of complex formation between macromolecules and ligands. Of the more than 115,000 entries extant in the Protein Data Bank (PDB) archive, ∼75% include at least one non-polymeric ligand. Ligand geometrical and stereochemical quality, the suitability of ligand models for in silico drug discovery and design, and the goodness-of-fit of ligand models to electron-density maps vary widely across the archive. We describe the proceedings and conclusions from the first Worldwide PDB/Cambridge Crystallographic Data Center/Drug Design Data Resource (wwPDB/CCDC/D3R) Ligand Validation Workshop held at the Research Collaboratory for Structural Bioinformatics at Rutgers University on July 30-31, 2015. Experts in protein crystallography from academe and industry came together with non-profit and for-profit software providers for crystallography and with experts in computational chemistry and data archiving to discuss and make recommendations on best practices, as framed by a series of questions central to structural studies of macromolecule-ligand complexes. What data concerning bound ligands should be archived in the PDB? How should the ligands be best represented? How should structural models of macromolecule-ligand complexes be validated? What supplementary information should accompany publications of structural studies of biological macromolecules? Consensus recommendations on best practices developed in response to each of these questions are provided, together with some details regarding implementation. Important issues addressed but not resolved at the workshop are also enumerated.

• MeSH
• databáze proteinů * MeSH
• datové kurátorství MeSH
• konformace proteinů MeSH
• krystalografie rentgenová MeSH
• ligandy MeSH
• molekulární modely MeSH
• proteiny chemie   MeSH
• směrnice jako téma MeSH
• Publikační typ
• kongresy MeSH
• práce podpořená grantem MeSH
• Research Support, N.I.H., Extramural MeSH
• Názvy látek
• ligandy MeSH
• proteiny MeSH

Well defined biomacromolecular patterns such as binding sites, catalytic sites, specific protein or nucleic acid sequences, etc. precisely modulate many important biological phenomena. We introduce PatternQuery, a web-based application designed for detection and fast extraction of such patterns. The application uses a unique query language with Python-like syntax to define the patterns that will be extracted from datasets provided by the user, or from the entire Protein Data Bank (PDB). Moreover, the database-wide search can be restricted using a variety of criteria, such as PDB ID, resolution, and organism of origin, to provide only relevant data. The extraction generally takes a few seconds for several hundreds of entries, up to approximately one hour for the whole PDB. The detected patterns are made available for download to enable further processing, as well as presented in a clear tabular and graphical form directly in the browser. The unique design of the language and the provided service could pave the way towards novel PDB-wide analyses, which were either difficult or unfeasible in the past. The application is available free of charge at http://ncbr.muni.cz/PatternQuery.

• MeSH
• databáze proteinů * MeSH
• internet MeSH
• konformace proteinů MeSH
• lektiny chemie   MeSH
• makromolekulární látky chemie   MeSH
• molekulární konformace * MeSH
• molekulární modely MeSH
• software * MeSH
• vazebná místa MeSH
• zinkové prsty MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Názvy látek
• LecB protein, Pseudomonas aeruginosa MeSH Prohlížeč
• lektiny MeSH
• makromolekulární látky MeSH