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URL: http://cns-online.org/v1.2/
Proper Citation: Crystallography and NMR System (CNS) (RRID:SCR_014223)
Description: Software designed to provide a multi-level hierachical approach for the most commonly used algorithms in macromolecular structure determination. Features include heavy atom searching, experimental phasing (including MAD and MIR), density modification, crystallographic refinement with maximum likelihood targets, and NMR structure calculation using NOEs, J-coupling, chemical shift, and dipolar coupling data. Modules, libraries, utility programs, tutorials, and a syntax manual are available on the website.
Abbreviations: CNS
Synonyms: Crystallography and NMR System
Resource Type: data processing software, data visualization software, software application, software resource, software toolkit
Defining Citation: PMID:9757107
Keywords: structure determination, software suite, macromolecular structure determination, data visualization software, bio.tools
Availability: Available to academic institutions, Request form must be submitted
Resource Name: Crystallography and NMR System (CNS)
Resource ID: SCR_014223
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
