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Institution

University of York

EducationYork, York, United Kingdom
About: University of York is a(n) education organization based out in York, York, United Kingdom. It is known for research contribution in the topic(s): Population & Health care. The organization has 22089 authors who have published 56925 publication(s) receiving 2458285 citation(s). The organization is also known as: York University & Ebor..


Papers
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Journal ArticleDOI
TL;DR: CCP4mg is a project that aims to provide a general-purpose tool for structural biologists, providing tools for X-ray structure solution, structure comparison and analysis, and publication-quality graphics.
Abstract: CCP4mg is a project that aims to provide a general-purpose tool for structural biologists, providing tools for X-ray structure solution, structure comparison and analysis, and publication-quality graphics. The map-fitting tools are available as a stand-alone package, distributed as `Coot'.

24,547 citations

Journal ArticleDOI
TL;DR: Coot is a molecular-graphics program designed to assist in the building of protein and other macromolecular models and the current state of development and available features are presented.
Abstract: Coot is a molecular-graphics application for model building and validation of biological macromolecules. The program displays electron-density maps and atomic models and allows model manipulations such as idealization, real-space refinement, manual rotation/translation, rigid-body fitting, ligand search, solvation, mutations, rotamers and Ramachandran idealization. Furthermore, tools are provided for model validation as well as interfaces to external programs for refinement, validation and graphics. The software is designed to be easy to learn for novice users, which is achieved by ensuring that tools for common tasks are `discoverable' through familiar user-interface elements (menus and toolbars) or by intuitive behaviour (mouse controls). Recent developments have focused on providing tools for expert users, with customisable key bindings, extensions and an extensive scripting interface. The software is under rapid development, but has already achieved very widespread use within the crystallographic community. The current state of the software is presented, with a description of the facilities available and of some of the underlying methods employed.

17,770 citations

Journal ArticleDOI
TL;DR: The likelihood function for macromolecular structures is extended to include prior phase information and experimental standard uncertainties and the results derived are consistently better than those obtained from least-squares refinement.
Abstract: This paper reviews the mathematical basis of maximum likelihood The likelihood function for macromolecular structures is extended to include prior phase information and experimental standard uncertainties The assumption that different parts of a structure might have different errors is considered A method for estimating σA using `free' reflections is described and its effects analysed The derived equations have been implemented in the program REFMAC This has been tested on several proteins at different stages of refinement (bacterial α-amylase, cytochrome c′, cross-linked insulin and oligopeptide binding protein) The results derived using the maximum-likelihood residual are consistently better than those obtained from least-squares refinement

14,122 citations

Journal ArticleDOI
TL;DR: A reporting guideline is described, the Preferred Reporting Items for Systematic reviews and Meta-Analyses for Protocols 2015 (PRISMA-P 2015), which consists of a 17-item checklist intended to facilitate the preparation and reporting of a robust protocol for the systematic review.
Abstract: Systematic reviews should build on a protocol that describes the rationale, hypothesis, and planned methods of the review; few reviews report whether a protocol exists. Detailed, well-described protocols can facilitate the understanding and appraisal of the review methods, as well as the detection of modifications to methods and selective reporting in completed reviews. We describe the development of a reporting guideline, the Preferred Reporting Items for Systematic reviews and Meta-Analyses for Protocols 2015 (PRISMA-P 2015). PRISMA-P consists of a 17-item checklist intended to facilitate the preparation and reporting of a robust protocol for the systematic review. Funders and those commissioning reviews might consider mandating the use of the checklist to facilitate the submission of relevant protocol information in funding applications. Similarly, peer reviewers and editors can use the guidance to gauge the completeness and transparency of a systematic review protocol submitted for publication in a journal or other medium.

10,370 citations


Authors

Showing all 22089 results

NameH-indexPapersCitations
Cyrus Cooper2041869206782
Eric R. Kandel184603113560
Ian J. Deary1661795114161
Elio Riboli1581136110499
Claude Bouchard1531076115307
Robert Plomin151110488588
Kevin J. Gaston15075085635
John R. Hodges14981282709
Myrna M. Weissman149772108259
Jeffrey A. Lieberman14570685306
Howard L. Weiner144104791424
Dan J. Stein1421727132718
Jedd D. Wolchok140713123336
Bernard Henrissat139593100002
Joseph E. LeDoux13947891500
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202261
20213,256
20203,377
20193,032
20182,810
20172,781