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{"title"=>"In silico assessment of potential druggable pockets on the surface of α1-antitrypsin conformers", "type"=>"journal", "authors"=>[{"first_name"=>"Anathe O M", "last_name"=>"Patschull", "scopus_author_id"=>"54412920500"}, {"first_name"=>"Bibek", "last_name"=>"Gooptu", "scopus_author_id"=>"6506674023"}, {"first_name"=>"Paul", "last_name"=>"Ashford", "scopus_author_id"=>"57189008598"}, {"first_name"=>"Tina", "last_name"=>"Daviter", "scopus_author_id"=>"6506398005"}, {"first_name"=>"Irene", "last_name"=>"Nobeli", "scopus_author_id"=>"6603320944"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-84860677190", "pui"=>"364758401", "doi"=>"10.1371/journal.pone.0036612", "sgr"=>"84860677190", "pmid"=>"22590577"}, "id"=>"0a2cfc4f-dfd1-3057-ae71-e0c79f5dc9ad", "abstract"=>"The search for druggable pockets on the surface of a protein is often performed on a single conformer, treated as a rigid body. Transient druggable pockets may be missed in this approach. Here, we describe a methodology for systematic in silico analysis of surface clefts across multiple conformers of the metastable protein α(1)-antitrypsin (A1AT). Pathological mutations disturb the conformational landscape of A1AT, triggering polymerisation that leads to emphysema and hepatic cirrhosis. Computational screens for small molecule inhibitors of polymerisation have generally focused on one major druggable site visible in all crystal structures of native A1AT. In an alternative approach, we scan all surface clefts observed in crystal structures of A1AT and in 100 computationally produced conformers, mimicking the native solution ensemble. We assess the persistence, variability and druggability of these pockets. Finally, we employ molecular docking using publicly available libraries of small molecules to explore scaffold preferences for each site. Our approach identifies a number of novel target sites for drug design. In particular one transient site shows favourable characteristics for druggability due to high enclosure and hydrophobicity. Hits against this and other druggable sites achieve docking scores corresponding to a K(d) in the µM-nM range, comparing favourably with a recently identified promising lead. Preliminary ThermoFluor studies support the docking predictions. In conclusion, our strategy shows considerable promise compared with the conventional single pocket/single conformer approach to in silico screening. Our best-scoring ligands warrant further experimental investigation.", "link"=>"http://www.mendeley.com/research/silico-assessment-potential-druggable-pockets-surface-%CE%B11antitrypsin-conformers", "reader_count"=>31, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>2, "Researcher"=>8, "Student > Ph. D. Student"=>12, "Other"=>1, "Student > Master"=>2, "Student > Bachelor"=>4, "Professor"=>2}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>2, "Researcher"=>8, "Student > Ph. D. Student"=>12, "Other"=>1, "Student > Master"=>2, "Student > Bachelor"=>4, "Professor"=>2}, "reader_count_by_subject_area"=>{"Biochemistry, Genetics and Molecular Biology"=>4, "Agricultural and Biological Sciences"=>13, "Medicine and Dentistry"=>2, "Pharmacology, Toxicology and Pharmaceutical Science"=>3, "Chemistry"=>7, "Computer Science"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>2}, "Chemistry"=>{"Chemistry"=>7}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>13}, "Computer Science"=>{"Computer Science"=>2}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>4}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>3}}, "reader_count_by_country"=>{"United States"=>1, "Denmark"=>1}, "group_count"=>0}

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• http://doi.org/10.4155/fmc.14.58
• http://doi.org/10.1016/j.molmed.2013.10.007
• http://doi.org/10.3390/molecules19056330
• http://doi.org/10.2174/1871520618666180718110231
• http://doi.org/10.1021/acs.biochem.6b00839
• http://doi.org/10.1371/journal.pone.0198632
• http://doi.org/10.1016/j.ddtec.2013.08.002
• http://doi.org/10.1007/s00894-014-2364-8
• http://doi.org/10.1038/nrdp.2016.51
• http://doi.org/10.1007/s40484-019-0179-4
• http://doi.org/10.3390/molecules25122911
• http://doi.org/10.3389/fphar.2020.00983
• http://doi.org/10.1016/j.jhep.2016.03.010
• http://doi.org/10.1016/j.ejbas.2018.05.008

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Figshare

• {"files"=>["https://ndownloader.figshare.com/files/641381"], "description"=>"<p>Persistence of clefts A–I among A1AT crystal structures (A) and computationally produced conformers (B). Where the sites C and E overlapped, the data are presented under the label “C_E”. The distribution of SiteMap calculated properties for the 100 <i>in silico</i> conformers are shown as boxplots: SiteScore (C), DScore (D), site volume (E) and hydrophobic vs. hydrophilic character balance (F). The corresponding data for crystal structures are shown as red symbols superimposed on the boxplots; 1qlp (circle), 2qug (plus sign), 3cwm (square), 1hp7 (diamond), 3drm (triangle point up), 1oph (triangle point down). Data are shown only for sites identified within PDB entries for native (stressed, ‘S’) forms of A1AT, as these are likely to be the appropriate target states for the design of polymerization inhibitors.</p>", "links"=>[], "tags"=>["pockets", "structures", "conformers"], "article_id"=>311872, "categories"=>["Biochemistry", "Biotechnology", "Biological Sciences", "Biophysics", "Pharmacology"], "users"=>["Anathe O. M. Patschull", "Bibek Gooptu", "Paul Ashford", "Tina Daviter", "Irene Nobeli"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0036612.g003", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Properties_of_surface_pockets_in_crystal_structures_and_in_silico_conformers_of_1_antitrypsin_/311872", "title"=>"Properties of surface pockets in crystal structures and <i>in silico</i> conformers of α₁-antitrypsin.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-05-08 00:31:12"}
• {"files"=>["https://ndownloader.figshare.com/files/641178"], "description"=>"<p>Front (A) and back (B) views of the structure of A1AT in cartoon representation (PDB entry: 1qlp). The secondary elements are coloured as follows. ß-sheets: A (red), B (blue), and C (yellow); helices: A (cyan), B (apricot), C (blue), D (grey-green), E (purple), F (yellow), G (orange), H (pink), I (olive); loops: reactive centre loop (RCL, red), all other loops (green).</p>", "links"=>[], "tags"=>["biotechnology", "Computational biology", "biophysics", "pharmacology", "Biochemistry"], "article_id"=>311661, "categories"=>["Biochemistry", "Biotechnology", "Biological Sciences", "Biophysics", "Pharmacology"], "users"=>["Anathe O. M. Patschull", "Bibek Gooptu", "Paul Ashford", "Tina Daviter", "Irene Nobeli"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0036612.g001", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_structure_of_the_wild_type_1_antitrypsin_/311661", "title"=>"The structure of the wild type α₁-antitrypsin.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-05-08 00:27:41"}
• {"files"=>["https://ndownloader.figshare.com/files/642146"], "description"=>"<p>The dataset of selected crystal structures of A1AT used in this study.</p>", "links"=>[], "tags"=>["dataset", "structures", "a1at"], "article_id"=>312634, "categories"=>["Biochemistry", "Biotechnology", "Biological Sciences", "Biophysics", "Pharmacology"], "users"=>["Anathe O. M. Patschull", "Bibek Gooptu", "Paul Ashford", "Tina Daviter", "Irene Nobeli"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0036612.t001", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_dataset_of_selected_crystal_structures_of_A1AT_used_in_this_study_/312634", "title"=>"The dataset of selected crystal structures of A1AT used in this study.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-05-08 00:43:54"}
• {"files"=>["https://ndownloader.figshare.com/files/641282"], "description"=>"<p>Coloured spheres represent the SiteMap predictions for eight top-ranking surface clefts on the wild type α₁-antitrypsin (PDB entry 1qlp, in grey cartoon representation): site A: green, B: cyan, C: blue, D: purple, E: fuchsia, F: orange, G: slate blue, H: brown. The yellow spheres correspond to the ninth site, I, a cleft identified on crystal structures of A1AT containing the Ala70Gly mutation.</p>", "links"=>[], "tags"=>["top-ranking", "pockets", "sitemap"], "article_id"=>311773, "categories"=>["Biochemistry", "Biotechnology", "Biological Sciences", "Biophysics", "Pharmacology"], "users"=>["Anathe O. M. Patschull", "Bibek Gooptu", "Paul Ashford", "Tina Daviter", "Irene Nobeli"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0036612.g002", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_nine_top_ranking_surface_pockets_identified_by_SiteMap_on_1_antitrypsin_/311773", "title"=>"The nine top-ranking surface pockets identified by SiteMap on α₁-antitrypsin.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-05-08 00:29:33"}
• {"files"=>["https://ndownloader.figshare.com/files/641970"], "description"=>"<p>(A) Thymol (DrugBank ID DB02513, in wire representation) docks on the outside of the main cavity of the I site (small white spheres) and does not reach the hydrophobic pocket within the cavity (yellow surface), resulting in a poor docking score (−3.2 kcal/mol). (B) After induced fit docking, thymol (in stick representation) enters the site, which now comprises a larger hydrophobic cavity; the docking score is consequently greatly improved to −7.8 kcal/mol. The initial docked pose of thymol before the application of IFD is shown superimposed in wire format. (C) A derivative of thymol, 5-ethyl-2-(4-ethyl-2-hydroxyphenyl)phenol, (PubChem CID 19850961, sticks coloured by element) achieves an impressive score of −10 kcal/mol after induced fit docking, whilst retaining the original thymol pose (in blue) for the substructure that is common to both molecules. (D) Best-ranking pose for DrugBank ID DB07263 ([{2-bromo-4-[(2R)-3-oxo-2,3-diphenylpropyl]phenyl}(difluoro)methyl]phosphonic acid, in stick representation) following induced fit docking. In this protein conformer, the channel connecting sites I and C has been opened creating two hydrophobic subpockets (predicted by SiteMap and depicted here in yellow semi-transparent surface). Two of the aromatic rings of this ligand are placed in these subpockets. This ligand achieves a very good docking score (−9.5 kcal/mol), despite the fact that several hydrogen bonding opportunities (depicted by the blue and red surfaces, corresponding to H-bond donor and acceptor, respectively) are not satisfied in the case of this ligand.</p>", "links"=>[], "tags"=>["docking", "allows", "affinity", "hits"], "article_id"=>312456, "categories"=>["Biochemistry", "Biotechnology", "Biological Sciences", "Biophysics", "Pharmacology"], "users"=>["Anathe O. M. Patschull", "Bibek Gooptu", "Paul Ashford", "Tina Daviter", "Irene Nobeli"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0036612.g008", "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Induced_fit_docking_allows_the_discovery_of_high_affinity_hits_for_site_I_/312456", "title"=>"Induced fit docking allows the discovery of high affinity hits for site I.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-05-08 00:40:56"}
• {"files"=>["https://ndownloader.figshare.com/files/641834"], "description"=>"<p>IUPAC names and PubChem CIDs for the DrugBank IDs in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0036612#pone-0036612-g006\" target=\"_blank\">Figure 6</a> and <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0036612#pone-0036612-t002\" target=\"_blank\">Table 2</a> are: DB07124: 3-[(2S)-2-amino-3-[(5-{7H-pyrazolo[3,4-c]pyridin-5-yl}pyridin-3-yl)oxy]propyl]-6H-indole, PubChem CID: 46937052; DB00610: 3-[(1R,2S)-2-amino-1-hydroxypropyl]phenol, PubChem CID: 5906 DB02278: 2-amino-6-hydroxy-7,7-dimethyl-3,4,7,8-tetrahydropteridin-4-one, PubChem CID: 3340355; DB04861: 1-(6-fluoro-3,4-dihydro-2H-1-benzopyran-2-yl)-2-{[2-(6-fluoro-3,4-dihydro-2H-1-benzopyran-2-yl)-2-hydroxyethyl]amino}ethan-1-ol, PubChem CID: 71301; DB02377: 2-aminopurin-6-one, PubChem CID: 764; DB08003: (2S)-2-acetamido-N-[(2S)-1-amino-1-oxo-3-[4-[(5S)-1,1,3-trioxo-1, 2-thiazolidin-5-yl]phenyl]propan-2-yl]-3-phenylpropanamide, PubChem CID: 9547915; DB00529: phosphonoformic acid, PubChem CID: 3415; DB07597: (1R,2S)-2-amino-1,2,3,4-tetrahydronaphthalen-1-ol, PubChem CID: 6420129; DB03536: benzyl N-[(1S)-4-[(diaminomethyl)amino]-1-{[(2S)-3-oxobutan-2-yl]carbamoyl}butyl]carbamate, PubChem CID: 6398520; DB03329: pyridine-2-thiol, PubChem CID: 2723698.</p>", "links"=>[], "tags"=>["drugbank", "molecules"], "article_id"=>312326, "categories"=>["Biochemistry", "Biotechnology", "Biological Sciences", "Biophysics", "Pharmacology"], "users"=>["Anathe O. M. Patschull", "Bibek Gooptu", "Paul Ashford", "Tina Daviter", "Irene Nobeli"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0036612.g007", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Top_scoring_DrugBank_molecules_against_the_1_antitrypsin_sites_/312326", "title"=>"Top-scoring DrugBank molecules against the α₁-antitrypsin sites.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-05-08 00:38:46"}
• {"files"=>["https://ndownloader.figshare.com/files/642104"], "description"=>"<p>The quoted <i>p</i>-values are the result of a Welch two-sample t-test (performed using the R statistical software) testing the null hypothesis that the difference in the mean values of the distribution of the thermal shift values for DMSO and the distribution of the thermal shift values observed for each ligand is zero. The null hypothesis was rejected for <i>p</i>-values <0.01.</p>", "links"=>[], "tags"=>["melting", "a1at", "ligands"], "article_id"=>312596, "categories"=>["Biochemistry", "Biotechnology", "Biological Sciences", "Biophysics", "Pharmacology"], "users"=>["Anathe O. M. Patschull", "Bibek Gooptu", "Paul Ashford", "Tina Daviter", "Irene Nobeli"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0036612.t003", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Shifts_in_melting_temperature_of_A1AT_in_the_presence_of_selected_small_molecule_ligands_ThermoFluor_assay_/312596", "title"=>"Shifts in melting temperature of A1AT in the presence of selected small molecule ligands (ThermoFluor assay).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-05-08 00:43:16"}
• {"files"=>["https://ndownloader.figshare.com/files/642076"], "description"=>"<p>Diagrams, IUPAC names and PubChem CIDs for all DrugBank entries in this table can be found in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0036612#pone-0036612-g007\" target=\"_blank\">Figure 7</a>.</p>", "links"=>[], "tags"=>["best-scoring", "molecules", "drugbank", "docked", "sites", "a-i"], "article_id"=>312561, "categories"=>["Biochemistry", "Biotechnology", "Biological Sciences", "Biophysics", "Pharmacology"], "users"=>["Anathe O. M. Patschull", "Bibek Gooptu", "Paul Ashford", "Tina Daviter", "Irene Nobeli"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0036612.t002", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_best_scoring_and_8220_best_efficient_8221_small_molecules_from_DrugBank_docked_against_each_of_the_sites_A_I_on_A1AT_/312561", "title"=>"The best-scoring and “best-efficient” small molecules from DrugBank docked against each of the sites A-I on A1AT.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-05-08 00:42:41"}
• {"files"=>["https://ndownloader.figshare.com/files/641721"], "description"=>"<p>(A) Boxplot distributions of docking scores for DrugBank molecules docked to each of the nine sites A to I. Only the top-ranking pose is included for each ligand and only ligands of molecular weight less than 500 Daltons are included in this plot. (B) The best-scoring ligand for each site is assigned a worse score when docked against each of the other sites. The red diamonds represent the best docking score for each ligand depicted in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0036612#pone-0036612-t002\" target=\"_blank\">Table 2</a>, when docked to the site where it is ranked top. The black diamonds correspond to the scores for each of these ligands when docked to all other sites. The x-axis labels correspond to the DrugBank ID of the ligand and, in brackets, the site against which it is selected as “best-scoring”, e.g. 07124(A) refers to DrugBank entry DB07124 which achieves its best score against site A.</p>", "links"=>[], "tags"=>["docking", "drugbank", "pockets"], "article_id"=>312208, "categories"=>["Biochemistry", "Biotechnology", "Biological Sciences", "Biophysics", "Pharmacology"], "users"=>["Anathe O. M. Patschull", "Bibek Gooptu", "Paul Ashford", "Tina Daviter", "Irene Nobeli"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0036612.g006", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Results_from_docking_the_DrugBank_collection_against_nine_pockets_on_1_antitrypsin_/312208", "title"=>"Results from docking the DrugBank collection against nine pockets on α₁-antitrypsin.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-05-08 00:36:48"}
• {"files"=>["https://ndownloader.figshare.com/files/641634"], "description"=>"<p>Best poses of the top-scoring 20 fragments (coloured sticks) from the ZINC dataset docked in the A site of A1AT (cartoon, blue). The majority of these fragments fill the pocket defined by Thr114 and Asn104 at the top, and His139 at the bottom (thin sticks, cyan), identified in our previous study as a potential allosteric site for targeting A1AT polymerization. Some of the fragments take advantage of hydrogen bonding opportunities presented by His139 and Thr114.</p>", "links"=>[], "tags"=>["docking", "targets", "pharmacophore", "defined"], "article_id"=>312125, "categories"=>["Biochemistry", "Biotechnology", "Biological Sciences", "Biophysics", "Pharmacology"], "users"=>["Anathe O. M. Patschull", "Bibek Gooptu", "Paul Ashford", "Tina Daviter", "Irene Nobeli"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0036612.g005", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Fragment_docking_to_the_A_site_targets_the_pharmacophore_defined_by_Asn104_Thr114_and_His139_/312125", "title"=>"Fragment docking to the A site targets the pharmacophore defined by Asn104, Thr114, and His139.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-05-08 00:35:25"}
• {"files"=>["https://ndownloader.figshare.com/files/331252", "https://ndownloader.figshare.com/files/331306", "https://ndownloader.figshare.com/files/331325", "https://ndownloader.figshare.com/files/331343", "https://ndownloader.figshare.com/files/331395", "https://ndownloader.figshare.com/files/331437"], "description"=>"<div><p>The search for druggable pockets on the surface of a protein is often performed on a single conformer, treated as a rigid body. Transient druggable pockets may be missed in this approach. Here, we describe a methodology for systematic <em>in silico</em> analysis of surface clefts across multiple conformers of the metastable protein α₁-antitrypsin (A1AT). Pathological mutations disturb the conformational landscape of A1AT, triggering polymerisation that leads to emphysema and hepatic cirrhosis. Computational screens for small molecule inhibitors of polymerisation have generally focused on one major druggable site visible in all crystal structures of native A1AT. In an alternative approach, we scan all surface clefts observed in crystal structures of A1AT and in 100 computationally produced conformers, mimicking the native solution ensemble. We assess the persistence, variability and druggability of these pockets. Finally, we employ molecular docking using publicly available libraries of small molecules to explore scaffold preferences for each site. Our approach identifies a number of novel target sites for drug design. In particular one transient site shows favourable characteristics for druggability due to high enclosure and hydrophobicity. Hits against this and other druggable sites achieve docking scores corresponding to a K_d in the µM–nM range, comparing favourably with a recently identified promising lead. Preliminary ThermoFluor studies support the docking predictions. In conclusion, our strategy shows considerable promise compared with the conventional single pocket/single conformer approach to <em>in silico</em> screening. Our best-scoring ligands warrant further experimental investigation.</p> </div>", "links"=>[], "tags"=>["druggable", "pockets", "conformers"], "article_id"=>125395, "categories"=>["Biochemistry", "Biotechnology", "Biological Sciences", "Biophysics", "Pharmacology"], "users"=>["Anathe O. M. Patschull", "Bibek Gooptu", "Paul Ashford", "Tina Daviter", "Irene Nobeli"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0036612.s001", "https://dx.doi.org/10.1371/journal.pone.0036612.s002", "https://dx.doi.org/10.1371/journal.pone.0036612.s003", "https://dx.doi.org/10.1371/journal.pone.0036612.s004", "https://dx.doi.org/10.1371/journal.pone.0036612.s005", "https://dx.doi.org/10.1371/journal.pone.0036612.s006"], "stats"=>{"downloads"=>2, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_In_Silico_Assessment_of_Potential_Druggable_Pockets_on_the_Surface_of_1_Antitrypsin_Conformers/125395", "title"=>"<em>In Silico</em> Assessment of Potential Druggable Pockets on the Surface of α₁-Antitrypsin Conformers", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2012-05-08 01:29:55"}
• {"files"=>["https://ndownloader.figshare.com/files/641508"], "description"=>"<p>Ribbon representation of A1AT (front, A and back, B) coloured by the residue-based Provar probabilities. Provar colours each protein residue according to its probability of being pocket-lining in an ensemble of conformers (here, 100 CONCOORD-produced conformations of A1AT). The first (0.05) and third quartile (0.92) of the probability distribution are used as the white and red limits of the spectrum respectively. Hence, residues appearing red belong to the top quartile distribution, i.e., in this case, they are pocket-lining in more than 92% of the conformers. (C) and (D): The SiteMap predictions for two pockets (A and I respectively) are shown as solid spheres, and every residue with an atom within 3.75<b> </b>Å of any sphere is shown in stick representation coloured by its Provar value. Depth-cueing has been switched off in these figures to preserve the variation in the colouring of the residues.</p>", "links"=>[], "tags"=>["pocket-lining", "propensity", "residues", "calculated"], "article_id"=>311999, "categories"=>["Biochemistry", "Biotechnology", "Biological Sciences", "Biophysics", "Pharmacology"], "users"=>["Anathe O. M. Patschull", "Bibek Gooptu", "Paul Ashford", "Tina Daviter", "Irene Nobeli"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0036612.g004", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_pocket_lining_propensity_of_the_residues_of_1_antitrypsin_calculated_with_Provar_/311999", "title"=>"The pocket-lining propensity of the residues of α₁-antitrypsin calculated with Provar.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-05-08 00:33:19"}

PMC Usage Stats | Further Information

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Relative Metric

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F1000Prime