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====Geometry====
<ref name="Engh" /><ref name="Gelbin">{{cite journal |vauthors=Gelbin A, Schneider B, Clowney L, ((Hsieh S-H)), Olson WK, Berman HM |author6-link=Helen M. Berman |year=1996 |title=Geometric parameters in Nucleic Acids:Sugar and Phosphate Constituents |journal=Journal of the American Chemical Society |volume=118 |issue=3 |pages=519–529 |doi=10.1021/ja9528846 |bibcode=1996JAChS.118..519G }}</ref><ref>{{cite journal | vauthors = Schultze P, Feigon J | title = Chirality errors in nucleic acid structures | journal = Nature | volume = 387 | issue = 6634 | pages = 668 | date = June 1997 | pmid = 9192890 | doi = 10.1038/42632 | bibcode = 1997Natur.387..668S | s2cid = 4318780 | doi-access = free }}</ref>
====Conformation (dihedrals): protein & RNA====
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==== Packing and Electrostatics: globular proteins ====
For globular proteins, interior atomic packing (arising from short-range, local interactions) of side-chains<ref>{{Cite journal| vauthors = Shen MY, Davis FP, Sali A |date= March 2005|title=The optimal size of a globular protein ___domain: A simple sphere-packing model|journal=Chemical Physics Letters|volume=405|issue=1–3|pages=224–228|doi=10.1016/j.cplett.2005.02.029|issn=0009-2614|bibcode= 2005CPL...405..224S}}</ref><ref>{{cite journal | vauthors = Misura KM, Morozov AV, Baker D | title = Analysis of anisotropic side-chain packing in proteins and application to high-resolution structure prediction | journal = Journal of Molecular Biology | volume = 342 | issue = 2 | pages = 651–64 | date = September 2004 | pmid = 15327962 | doi = 10.1016/j.jmb.2004.07.038 }}</ref><ref>{{cite journal | vauthors = Basu S, Bhattacharyya D, Banerjee R | title = Mapping the distribution of packing topologies within protein interiors shows predominant preference for specific packing motifs | journal = BMC Bioinformatics | volume = 12 | issue = 1 |
====Carbohydrates====
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The branched and cyclic nature of carbohydrates poses particular problems to structure validation tools.<ref>{{cite journal | vauthors = Agirre J, Davies GJ, Wilson KS, Cowtan KD | title = Carbohydrate structure: the rocky road to automation | journal = Current Opinion in Structural Biology | volume = 44 | pages = 39–47 | date = June 2017 | pmid = 27940408 | doi = 10.1016/j.sbi.2016.11.011 | url = http://eprints.whiterose.ac.uk/109296/1/COStBi_postprint.pdf | series = Carbohydrates • Sequences and topology }}</ref> At higher resolutions, it is possible to determine the sequence/structure of oligo- and poly-saccharides, both as covalent modifications and as ligands. However, at lower resolutions (typically lower than 2.0Å), sequences/structures should either match known structures, or be supported by complementary techniques such as Mass Spectrometry.<ref>{{cite journal | vauthors = Crispin M, Stuart DI, Jones EY | title = Building meaningful models of glycoproteins | journal = Nature Structural & Molecular Biology | volume = 14 | issue = 5 | pages = 354; discussion 354–5 | date = May 2007 | pmid = 17473875 | doi = 10.1038/nsmb0507-354a | s2cid = 2020697 | doi-access = free }}</ref> Also, monosaccharides have clear conformational preferences (saturated rings are typically found in chair conformations),<ref>{{cite journal | vauthors = Davies GJ, Planas A, Rovira C | title = Conformational analyses of the reaction coordinate of glycosidases | journal = Accounts of Chemical Research | volume = 45 | issue = 2 | pages = 308–16 | date = February 2012 | pmid = 21923088 | doi = 10.1021/ar2001765 }}</ref> but errors introduced during model building and/or refinement (wrong linkage chirality or distance, or wrong choice of model - see<ref>{{cite journal | vauthors = Agirre J | title = Strategies for carbohydrate model building, refinement and validation | journal = Acta Crystallographica Section D | volume = 73 | issue = Pt 2 | pages = 171–186 | date = February 2017 | pmid = 28177313 | pmc = 5297920 | doi = 10.1107/S2059798316016910 | bibcode = 2017AcCrD..73..171A | url = http://journals.iucr.org/d/issues/2017/02/00/ba5257/ }}</ref> for recommendations on carbohydrate model building and refinement and<ref>{{cite journal | vauthors = Lütteke T | title = Analysis and validation of carbohydrate three-dimensional structures | journal = Acta Crystallographica Section D | volume = 65 | issue = Pt 2 | pages = 156–68 | date = February 2009 | pmid = 19171971 | pmc = 2631634 | doi = 10.1107/S0907444909001905 | bibcode = 2009AcCrD..65..156L }}</ref><ref>{{cite book | vauthors = Lütteke T, von der Lieth CW | title = Glycomics | chapter = Data mining the PDB for glyco-related data | series = Methods in Molecular Biology | volume = 534 | pages = 293–310 | date = 2009-01-01 | pmid = 19277543 | doi = 10.1007/978-1-59745-022-5_21 | isbn = 978-1-58829-774-7 }}</ref><ref>{{cite journal | vauthors = Joosten RP, Lütteke T | title = Carbohydrate 3D structure validation | journal = Current Opinion in Structural Biology | volume = 44 | pages = 9–17 | date = June 2017 | pmid = 27816840 | doi = 10.1016/j.sbi.2016.10.010 | url = http://eprints.whiterose.ac.uk/109296/1/COStBi_postprint.pdf }}</ref> for reviews on general errors in carbohydrate structures) can bring their atomic models out of the more likely low-energy state. Around 20% of the deposited carbohydrate structures are in a higher-energy conformation not justified by the structural data (measured using real-space correlation coefficient).<ref>{{cite journal | vauthors = Agirre J, Davies G, Wilson K, Cowtan K | title = Carbohydrate anomalies in the PDB | journal = Nature Chemical Biology | volume = 11 | issue = 5 | pages = 303 | date = May 2015 | pmid = 25885951 | doi = 10.1038/nchembio.1798 | url = http://eprints.whiterose.ac.uk/95242/1/AgirreDaviesWIlsonCowtan_self_archived.pdf | doi-access = free }}</ref>
A number of carbohydrate validation web services are available at [http://ww.glycosciences.de glycosciences.de] (including nomenclature checks and linkage checks by [http://www.glycosciences.de/tools/pdb-care/ pdb-care],<ref>{{cite journal | vauthors = Lütteke T, von der Lieth CW | title = pdb-care (PDB carbohydrate residue check): a program to support annotation of complex carbohydrate structures in PDB files | journal = BMC Bioinformatics | volume = 5 |
Privateer also generates scalable two-dimensional SVG diagrams according to the Essentials of Glycobiology<ref name=":1">{{cite journal | vauthors = Varki A, Cummings RD, Aebi M, Packer NH, Seeberger PH, Esko JD, Stanley P, Hart G, Darvill A, Kinoshita T, Prestegard JJ, Schnaar RL, Freeze HH, Marth JD, Bertozzi CR, Etzler ME, Frank M, Vliegenthart JF, Lütteke T, Perez S, Bolton E, Rudd P, Paulson J, Kanehisa M, Toukach P, Aoki-Kinoshita KF, Dell A, Narimatsu H, York W, Taniguchi N, Kornfeld S | display-authors = 6 | title = Symbol Nomenclature for Graphical Representations of Glycans | journal = Glycobiology | volume = 25 | issue = 12 | pages = 1323–4 | date = December 2015 | pmid = 26543186 | pmc = 4643639 | doi = 10.1093/glycob/cwv091 }}</ref> standard symbol nomenclature containing all the validation information as tooltip annotations (see figure). This functionality is currently integrated into other CCP4 programs, such as the molecular graphics program CCP4mg (through the ''Glycoblocks'' 3D representation,<ref>{{cite journal | vauthors = McNicholas S, Agirre J | title = Glycoblocks: a schematic three-dimensional representation for glycans and their interactions | journal = Acta Crystallographica Section D | volume = 73 | issue = Pt 2 | pages = 187–194 | date = February 2017 | pmid = 28177314 | pmc = 5297921 | doi = 10.1107/S2059798316013553 | bibcode = 2017AcCrD..73..187M }}</ref> which conforms to the standard symbol nomenclature<ref name=":1" />) and the suite's graphical interface, CCP4i2.
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===Data Validation: Chemical Shifts, NOEs, RDCs===
;AVS: Assignment validation suite ([https://www.ncbi.nlm.nih.gov/pubmed/14872126 AVS]) checks the chemical shifts list in BioMagResBank (BMRB) format for problems.<ref name="pmid14872126">{{cite journal | vauthors = Moseley HN, Sahota G, Montelione GT | title = Assignment validation software suite for the evaluation and presentation of protein resonance assignment data | journal = Journal of Biomolecular NMR | volume = 28 | issue = 4 | pages = 341–55 | date = April 2004 | pmid = 14872126 | doi = 10.1023/B:JNMR.0000015420.44364.06 | s2cid = 14483199 }}</ref>
;PSVS: Protein Structure Validation Server at the NESG based on information retrieval statistics<ref name="HuangPowers2005">{{cite journal | vauthors = Huang YJ, Powers R, Montelione GT | title = Protein NMR recall, precision, and F-measure scores (RPF scores): structure quality assessment measures based on information retrieval statistics | journal = Journal of the American Chemical Society | volume = 127 | issue = 6 | pages = 1665–74 | date = February 2005 | pmid = 15701001 | doi = 10.1021/ja047109h | bibcode = 2005JAChS.127.1665H }}</ref>
;[[PROSESS]]: PROSESS (Protein Structure Evaluation Suite & Server) is a new web server that offers an assessment of protein structural models by NMR chemical shifts as well as NOEs, geometrical, and knowledge-based parameters.
;LACS:Linear analysis of chemical shifts is used for absolute referencing of chemical shift data.
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** [http://vadar.wishartlab.com/ VADAR - Volume, Area, Dihedral Angle Reporter]
* NMR
** [http://code.google.com/p/cing/ CING (Common Interface for NMR structure Generation) software]
** [http://www.ebi.ac.uk/thornton-srv/software/PROCHECK/ ProCheck] - stereochemical quality check for X-ray and NMR<ref>{{cite journal | vauthors = Laskowski RA, Rullmannn JA, MacArthur MW, Kaptein R, Thornton JM | title = AQUA and PROCHECK-NMR: programs for checking the quality of protein structures solved by NMR | journal = Journal of Biomolecular NMR | volume = 8 | issue = 4 | pages = 477–86 | date = December 1996 | pmid = 9008363 | doi = 10.1007/bf00228148 | s2cid = 45664105 }}</ref>
** [
** [http://vadar.wishartlab.com/ VADAR - Volume, Area, Dihedral Angle Reporter]
** [[PROSESS]] - Protein Structure Evaluation Suite & Server
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