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Nndwammbi AAT, Dongola TH, Shonhai A, Mokoena F, Pooe OJ, Simelane MBC. Ursolic acid acetate and iso-mukaadial acetate bind to Plasmodium falciparum Hsp90, abrogating its chaperone function in vitro. NAUNYN-SCHMIEDEBERG'S ARCHIVES OF PHARMACOLOGY 2024; 397:5179-5192. [PMID: 38252299 PMCID: PMC11166764 DOI: 10.1007/s00210-024-02944-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 01/06/2024] [Indexed: 01/23/2024]
Abstract
Plasmodium falciparum is the most lethal malaria parasite. Increasing incidences of drug resistance of P. falciparum have prompted the need for discovering new and effective antimalarial compounds with an alternative mode of action. Heat shock protein 90 (PfHsp90) facilitates protein folding and is a promising antimalarial drug target. We have previously reported that iso-mukaadial acetate (IMA) and ursolic acid acetate (UAA) exhibit antimalarial activity. We investigated the abilities of IMA and UAA to bind PfHsp90 by molecular docking and dynamics simulations. The in silico predictions were validated by biochemical assays conducted on recombinant PfHsp90. The interaction between the ligands and PfHsp90 was evaluated using ultraviolet-visible spectroscopy (UV-vis), Fourier transform infrared (FTIR), and surface plasmon resonance (SPR) analysis. The results obtained by docking calculations and MD dynamics simulation predicted that UAA and IMA preferentially bound to PfHsp90 via the N-terminal domain, with UAA binding more stable than IMA. UV-vis-based data suggest that PfHsp90 harbors buried aromatic amino acids, which were exposed in the presence of either IMA or UAA. In addition, data obtained using FTIR suggested that IMA and UAA destabilized the secondary structure of PfHsp90. Of the two compounds, UAA bound to PfHsp90 within the micromolar range based on surface plasmon resonance (SPR)-based binding assay. Furthermore, both compounds disrupted the holdase chaperone function of PfHsp90 as the chaperone failed to suppress heat-induced aggregation of the model proteins, malate dehydrogenase (MDH), luciferase, and citrate synthase in vitro. In addition, both compounds lowered the ATPase activity of PfHsp90. The molecular dynamics simulation analysis indicated that the docked complexes were mostly stable for 100 ns, validating the data obtained through the biochemical assays. Altogether, this study expands the repository of antiplasmodial compounds that have PfHsp90 among their possible targets.
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Affiliation(s)
- Andani A T Nndwammbi
- Department of Biochemistry, Faculty of Science, University of Johannesburg, Johannesburg, 2006, South Africa
| | | | - Addmore Shonhai
- Department of Biochemistry & Microbiology, University of Venda, Thohoyandou, South Africa
| | - Fortunate Mokoena
- Department of Biochemistry, Faculty of Natural and Agricultural Science, North West University, Mmabatho, South Africa
| | - Ofentse J Pooe
- School of Life Sciences, University of KwaZulu-Natal, Durban, Westville, 4000, South Africa
| | - Mthokozisi B C Simelane
- Department of Biochemistry, Faculty of Science, University of Johannesburg, Johannesburg, 2006, South Africa.
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Filatov V, Sokolova A, Savitskaya N, Olkhovskaya M, Varava A, Ilin E, Patronova E. Synergetic Effects of Aloe Vera Extract with Trimethylglycine for Targeted Aquaporin 3 Regulation and Long-Term Skin Hydration. Molecules 2024; 29:1540. [PMID: 38611819 PMCID: PMC11013907 DOI: 10.3390/molecules29071540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 03/21/2024] [Accepted: 03/27/2024] [Indexed: 04/14/2024] Open
Abstract
Aquaporin 3 (AQP3) channels are tetrameric membrane-bound channels that facilitate the transport of water and other small solutes across cell membranes in the skin. Decreased AQP3 expression is associated with skin dryness, skin aging, psoriasis, and delayed wound healing. Thus, our study focused on a novel combination based on Aloe barbadensis leaf extract and trimethylglycine for targeted AQP3 regulation in skin keratinocytes and deep skin moisturization. Firstly, a dose-finding cytotoxicity assay of the selected substances was performed with a 2,5-diphenyl-2H-tetrazolium bromide (MTT) indicator on HaCaT cells. The substances' ability to increase the amount of AQP3 in keratinocytes was evaluated in a keratinocyte cell culture by means of ELISA. Additionally, the deep skin hydration effect was confirmed in clinical research with healthy volunteers. According to the results, the maximum tolerated doses providing viability at 70% (MTDs) values for Aloe barbadensis leaf extract and trimethylglycine were 24.50% and 39.00%, respectively. Following the research and development, a complex based on Aloe barbadensis leaf extract and trimethylglycine in a 1:1 mass ratio exhibited a good cytotoxicity profile, with an MTDs value of 37.90%. Furthermore, it was shown that the combination had a clear synergetic effect and significantly increased AQP3 by up to 380% compared to the negative control and glyceryl glucoside (p < 0.001). It was clinically confirmed that the developed shower gel containing Aloe barbadensis leaf extract and trimethylglycine safely improved skin hydration after one use and over 28 days. Thus, this novel plant-based combination has promising potential for AQP3 regulation in the skin epidermis and a role in the development of dermatological drugs for the treatment of skin xerosis and atopic-related conditions.
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Affiliation(s)
- Viktor Filatov
- Science Center, SkyLab AG, 1066 Lausanne, Switzerland (N.S.); (E.P.)
- Department of Pharmaceutical Chemistry and Organization of Pharmaceutical Business, Faculty of Basic Medicine, Lomonosov Moscow State University, Moscow 119991, Russia
| | - Anna Sokolova
- Science Center, SkyLab AG, 1066 Lausanne, Switzerland (N.S.); (E.P.)
| | | | | | - Andrey Varava
- Science Center, SkyLab AG, 1066 Lausanne, Switzerland (N.S.); (E.P.)
| | - Egor Ilin
- Faculty of Chemistry, Lomonosov Moscow State University, Moscow 119991, Russia
- N. D. Zelinsky Institute of Organic Chemistry, Moscow 119991, Russia
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Verma AK, Yadav V, Bhojiya AA, Upadhyay SK, Singh N, Pareek SS, Ashid M, Ahmed SF, Hossain MS. 'Synthesis, antiviral activity, molecular docking, and molecular dynamics studies of ethoxy phthalimide pyrazole derivatives against Cytomegalovirus and Varicella-Zoster virus: potential consequences and strategies for developing new antiviral treatments'. J Biomol Struct Dyn 2023:1-20. [PMID: 37965748 DOI: 10.1080/07391102.2023.2279278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 10/30/2023] [Indexed: 11/16/2023]
Abstract
Substituted ethoxy phthalimide pyrazole derivatives (6a-e) have been produced using a one-pot synthesis technique. Spectral analysis was used to establish the molecular structure of the synthesized compounds, and they were examined in silico and in vitro for their ability to bind to and inhibit replication of the AD-169 strain, the Davis strain of CMV, the OKA strain and the 07/1 strain of Varicella-Zoster virus (VZV). Molecular Docking was used to estimate the binding mechanism and energy of compounds 4, 6a-e to their respective target proteins, thymidine kinase (TK), Varicella-Zoster protease (VZP) of VZV and tegument protein pp71 (TPpp71) of Cytomegalovirus (CMV). The MIC50 and EC50 were utilized to evaluate the antiviral and cytotoxic activities of test compounds in human embryonic lung (HEL) cells against the two reference medicines, Ganciclovir and Acyclovir. The chemicals studied showed a high affinity for binding sites and near binding sites of target proteins by generating H-bonds, carbon-hydrogen bonds, π-anion, π-sulfur, π-sigma, alkyl and π-alkyl interactions. All of the test compounds (6a-e) had higher binding energy than the standard medications. The ADME/T data suggests that these potential inhibitors are less toxic. Drug-protein complexes are structurally compact and demonstrate minimal conformational change in molecular dynamics (MDs) simulations, indicating stability and stiffness. MM-PBSA and post-simulation analysis can predict lead compound active cavity binding stability. By inhibiting multitargeted proteins, these synthetic compounds may improve antiviral therapy. Our research suggests that these unique synthesized chemicals may be useful and accessible adjuvant antiviral therapy for Varicella Zoster and CMV. HighlightsTwo components synthesis of substituted ethoxy phthalimide pyrazole derivatives (6a-e).Tested compounds (6a-e) have antiviral and cytotoxicity activity against CMV and Varicella-Zoster virus (VZV) in HEL cells.Compounds bind to TK, Varicella-Zoster protease (VZP) of VZV, and modeled TPpp71 of Cytomegalovirus (CMV).In comparison to reference drugs, compounds have strong binding free energy and interactions with VZV and CMV protein complexes.The RMSD, RMSF, Rg, residual correlative motion (RCM), No. of hydrogen bonds, protein secondary structure content, per-residue protein secondary structure and MM/PBSA energy calculated for the selected compound with thymidine kinase (TK), VZP of VZV, and modeled tegument protein pp71 (TPpp71) of CMV through MD simulation studies for 50 ns.In comparison to the two reference drugs, ligands/compounds were found to meet the Lipinski rule of five and to have strong biological activity.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Abhishek Kumar Verma
- Department of Life Sciences, Faculty of Science and Technology, Mewar University, Chittorgarh, Rajasthan, India
| | - Vipin Yadav
- ECH-Incubation Centre, University of Rajasthan, Jaipur, India
| | | | - Sudhir K Upadhyay
- Department of Environmental Sciences, V.B.S. Purvanchal University, Jaunpur, India
| | - Nripendra Singh
- Department of Pharmacy, VBS Purvanchal University, Jaunpur, India
| | | | - Mohammad Ashid
- Department of Chemistry, Faculty of Science and Technology, Mewar University, Chittorgarh, India
| | - Sk Faisal Ahmed
- Department of Biotechnology and Genetic Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh
- Computational Biology and Chemistry Lab (CBC), Noakhali Science and Technology University, Noakhali, Bangladesh
| | - Md Shahadat Hossain
- Department of Biotechnology and Genetic Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh
- Computational Biology and Chemistry Lab (CBC), Noakhali Science and Technology University, Noakhali, Bangladesh
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Tilwani K, Patel A, Patel M, Sojitra P, Dave G. Asiaticoside A for the modulation of 1-TbAd- a potential target and ligand for extensive drug resistance Mycobacterium tuberculosis. AMB Express 2023; 13:111. [PMID: 37833557 PMCID: PMC10575824 DOI: 10.1186/s13568-023-01616-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 10/01/2023] [Indexed: 10/15/2023] Open
Abstract
In nature, terpene nucleosides are relatively rare, with 1-tuberculosinyladenosine (1-TbAd) being an exclusive feature of Mycobacterium tuberculosis (Mtb). The convergence of nucleosides and terpene pathways in the Mtb complex appears to have emerged late in its evolutionary history. 1-TbAd (PDB ID: 3WQK) is a prominent chemical marker for Mtb and may contribute to its virulence-related properties when exported extracellularly. We gathered a comprehensive set of 270 phytochemicals from diverse Ayurvedic texts and treatment traditions. Subsequently, we conducted structure-based molecular docking analyses to identify compounds exhibiting the strongest binding affinity for 1-TbAd, highlighting their potential as drug candidates. These selected compounds were further subjected to an in-vitro growth inhibition assay against the reference strain Mycobacterium tuberculosis h37rv. Among the candidates, Asiaticoside A (ASA) emerged as a promising candidate from the pool of 270 compounds. To assess the impact of ASA on 1-TbAd expression, we employed a PCR-based mRNA expression assay, revealing ASA's ability to downregulate 1-TbAd expression in extensively drug-resistant MTb strains. Remarkably, the conventional drug rifampin showed no such effectiveness in our experiments. We further conducted molecular dynamic simulations to explore the interaction between ASA and 1-TbAd in a cellular-like environment, confirming the stability of their interaction. Also, we predicted ASA's stability toward causing inducing the random mutations in the target gene. With this, we propose a novel target and its modulator to treat extensively drug-resistant MTB.
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Affiliation(s)
- Komal Tilwani
- P D Patel Institute of Applied Sciences, Charotar University of Science and Technology, Changa, 388421, India
| | - Abhishek Patel
- P D Patel Institute of Applied Sciences, Charotar University of Science and Technology, Changa, 388421, India
| | - Mainavi Patel
- P D Patel Institute of Applied Sciences, Charotar University of Science and Technology, Changa, 388421, India
| | - Pankaj Sojitra
- QxP Pharma project and GMP services Private Ltd, Ahmedabad, India
| | - Gayatri Dave
- P D Patel Institute of Applied Sciences, Charotar University of Science and Technology, Changa, 388421, India.
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Verma AK, Ahmed SF, Hossain MS, Bhojiya AA, Upadhyay SK, Srivastava AK, Singh N, Harina H, Rahaman MM, Bahadur NM. Unlocking SGK1 inhibitor potential of bis-[1-N,7-N, pyrazolo tetraethoxyphthalimido{-4-(3,5-Dimethyl-4-(spiro-3-methylpyazolo)-1,7-dihydro-1H-dipyrazolo[3,4-b;4',3'-e]pyridin-8-yl)}]p-disubstituted phenyl compounds: a computational study. J Biomol Struct Dyn 2022; 40:13412-13431. [PMID: 34696688 DOI: 10.1080/07391102.2021.1988711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
SGK1 (Serum and Glucocorticoid Regulated Kinase 1), a serine/threonine kinase that is activated by various stimuli, including serum and glucocorticoids. It controls inflammation, apoptosis, hormone release, neuro-excitability and cell proliferation, all of which play an important role in cancer progression and metastasis. SGK1 was recently proposed as a potential drug target for cancer, diabetes, and neurodegenerative diseases. In this study, molecular docking, physiochemical, toxicological properties and molecular dynamic simulation of the Bis-[1-N,7-N, Pyrazolo tetraethoxyphthalimido{-4-(3,5-Dimethyl-4-(spiro-3-methylpyazolo)-1,7-dihydro-1H-dipyrazolo[3,4-b;4',3'-e]pyridin-8-yl)}]p-disubstituted phenyl compoundsand reference EMD638683 against new SGK1 target protein. Compared to the reference inhibitor EMD638683, we choose the best compounds (series 2-6) based on the binding energy (in the range from -11.0 to -10.6 kcal/mol). With the exception of compounds 2 and 6, none of the compounds posed a risk for AMES toxicity or carcinogenicity due to their toxicological properties. 100 ns MD simulation accompanied by MM/PBSA energy calculations and PCA. According to MD simulation results, the binding of compounds 3, 4 and 5 stabilizes the SGK1 structure and causes febrile conformational changes compared to EMD638683. As a result of this research, the final selected compounds 3, 4 and 5 can be used as scaffolds to develop promising SGK1 inhibitors for the treatment of related diseases such as cancer.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Abhishek Kumar Verma
- Department of Life Sciences, Faculty of Science and Technology, Mewar University, Gangrar, Chittorgarh, Rajasthan, India
| | - Sk Faisal Ahmed
- Department of Biotechnology and Genetic Engineering, Noakhali Science and Technology University, Sonapur, Noakhali, Bangladesh
| | - Md Shahadat Hossain
- Department of Biotechnology and Genetic Engineering, Noakhali Science and Technology University, Sonapur, Noakhali, Bangladesh
| | - Ali Asger Bhojiya
- Faculty of Agriculture and Veterinary Sciences, Mewar University, Gangrar, Chittorgarh, Rajasthan, India
| | - Sudhir K Upadhyay
- Department of Environmental Science, V.B.S. Purvanchal University, Jaunpur, Uttar Pradesh, India
| | | | - Nripendra Singh
- Department of Pharmacy, V.B.S, Purvanchal University, Jaunpur, Uttar Pradesh, India
| | - Harina Harina
- Department of Life Sciences, Faculty of Science and Technology, Mewar University, Gangrar, Chittorgarh, Rajasthan, India
| | | | - Newaz Mohammed Bahadur
- Department of Applied Chemistry and Chemical Engineering, Noakhali Science and Technology University, Sonapur, Noakhali, Bangladesh
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Intrinsically Disordered Proteins: An Overview. Int J Mol Sci 2022; 23:ijms232214050. [PMID: 36430530 PMCID: PMC9693201 DOI: 10.3390/ijms232214050] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 11/07/2022] [Accepted: 11/08/2022] [Indexed: 11/16/2022] Open
Abstract
Many proteins and protein segments cannot attain a single stable three-dimensional structure under physiological conditions; instead, they adopt multiple interconverting conformational states. Such intrinsically disordered proteins or protein segments are highly abundant across proteomes, and are involved in various effector functions. This review focuses on different aspects of disordered proteins and disordered protein regions, which form the basis of the so-called "Disorder-function paradigm" of proteins. Additionally, various experimental approaches and computational tools used for characterizing disordered regions in proteins are discussed. Finally, the role of disordered proteins in diseases and their utility as potential drug targets are explored.
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Verma AK, Hossain MS, Ahmed SF, Hussain N, Ashid M, Upadhyay SK, Vishvakarma NK, Bhojiya AA, Srivastava SK. " In silico identification of ethoxy phthalimide pyrazole derivatives as IL-17A and IL-18 targeted gouty arthritis agents". J Biomol Struct Dyn 2022:1-15. [PMID: 35532103 DOI: 10.1080/07391102.2022.2071338] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Two proinflammatory cytokines, IL17A and IL18, are observed to be elevated in the serum of gout patients and they play a crucial role in the development and worsening of inflammation, which has severe effects. In present study, we have combined molecular docking, molecular dynamics studies and MM-PBSA analysis to study the effectiveness of ethoxy phthalimide pyrazole derivatives (series 3a to 3e) as potential inhibitors against cytokines IL17A and IL18 as a druggable targets. The binding energy of the docked series ranges from -13.5 to -10.0 kcal/mol and extensively interacts with the amino acids in the active pocket of IL17A and IL18. Compound 3e had the lowest binding energy with IL17A at -12.6 kcal/mol compared to control allopurinol (3.32 kcal/mol). With IL18, compound 3a seems to have the lowest binding energy of -9.6 kcal/mol compared to control allopurinol (3.18 kcal/mol). In MD simulation studies, compound 3a forms a stable and energetically stabilized complex with the target protein. Depending on properties of the bound IL17A-3a and IL18-3a complexes was compared by means of MM-PBSA analysis. These derivatives can be used as a scaffold to develop promising IL17A and IL18 inhibitors to assess their potential for gouty arthritis and other related diseases.
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Affiliation(s)
- Abhishek Kumar Verma
- Department of Biosciences, Manipal University Jaipur, Dehmi Kalan, Off Jaipur-Ajmer Expressway, Jaipur, Rajasthan, India
| | - Md Shahadat Hossain
- Department of Biotechnology and Genetic Engineering, Noakhali Science and Technology University, Sonapur, Noakhali, Bangladesh
| | - Sk Faisal Ahmed
- Department of Biotechnology and Genetic Engineering, Noakhali Science and Technology University, Sonapur, Noakhali, Bangladesh
| | - Nasir Hussain
- Department of Chemistry, Faculty of Science and Technology, Mewar University, Chittorgarh, Rajasthan, India
| | - Mohammad Ashid
- Department of Chemistry, Faculty of Science and Technology, Mewar University, Chittorgarh, Rajasthan, India
| | - Sudhir K Upadhyay
- Department of Environmental Science, V.B.S. Purvanchal University, Jaunpur, Uttar Pradesh, India
| | | | - Ali Asger Bhojiya
- Department of Science, U.S. Ostwal Science, Arts & Commerce College, Chittorgarh, India
| | - Sandeep Kumar Srivastava
- Department of Biosciences, Manipal University Jaipur, Dehmi Kalan, Off Jaipur-Ajmer Expressway, Jaipur, Rajasthan, India
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Molecular docking and pharmacokinetic prediction of phytochemicals from Syzygium cumini in interaction with penicillin-binding protein 2a and erythromycin ribosomal methylase of Staphylococcus aureus. BIOTECHNOLOGIA 2022; 103:5-18. [PMID: 36605380 PMCID: PMC9642940 DOI: 10.5114/bta.2022.113910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 08/23/2021] [Accepted: 10/12/2021] [Indexed: 01/09/2023] Open
Abstract
Background MRSA and MLSB resistant S. aureus are known as important pathogens, which are responsible for many cases of both hospital and community-acquired infections worldwide. Studying drug discovery from plant sources is regarded as an important prevention strategy regarding these types of infections. Material and methods Agar well diffusion method was performed for antimicrobial evaluation, LCMS technique used for identification of different compounds, molecular docking performed by application of i GEMDOCK for PBP2a and ERM to plant compounds, and its pharmacokinetic evaluation of ADMET through use of AdmetSAR. Results Water extract was the most effective against resistant strains of Staphylococcus aureus. Twenty compounds belonging to phenols, flavonoids, organic acids, terpenoids groups were reported. Eighteen plant compounds passed in Lipinski's rule of five. i GEMDOCK revealed diferulic acid has the least binding energy -102.37 kcal/mole to penicillin-binding protein 2a and taxifolin has the least binding energy of -103.12 kcal/mole to erythromycin ribosomal methylase in comparison to control linezolid. These compounds raise the potential for developing potent inhibitors of penicillin-binding protein 2a and erythromycin ribosomal methylase for drug development. ADMET properties revealed that eighteen studied compounds were found in category III and IV with non-toxic properties except two butin and taxifolin found in category II with toxic properties. Conclusions It can be concluded that diferulic acid and taxifolin compounds provide the best inhibitor effect to PBP2a and ERM protein for inhibition of MRSA and MLSB resistant strains of S. aureus through the application of molecular docking, leading to a lead drug candidate for the treatment of diseases.
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Kricker JA, Page CP, Gardarsson FR, Baldursson O, Gudjonsson T, Parnham MJ. Nonantimicrobial Actions of Macrolides: Overview and Perspectives for Future Development. Pharmacol Rev 2021; 73:233-262. [PMID: 34716226 DOI: 10.1124/pharmrev.121.000300] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Macrolides are among the most widely prescribed broad spectrum antibacterials, particularly for respiratory infections. It is now recognized that these drugs, in particular azithromycin, also exert time-dependent immunomodulatory actions that contribute to their therapeutic benefit in both infectious and other chronic inflammatory diseases. Their increased chronic use in airway inflammation and, more recently, of azithromycin in COVID-19, however, has led to a rise in bacterial resistance. An additional crucial aspect of chronic airway inflammation, such as chronic obstructive pulmonary disease, as well as other inflammatory disorders, is the loss of epithelial barrier protection against pathogens and pollutants. In recent years, azithromycin has been shown with time to enhance the barrier properties of airway epithelial cells, an action that makes an important contribution to its therapeutic efficacy. In this article, we review the background and evidence for various immunomodulatory and time-dependent actions of macrolides on inflammatory processes and on the epithelium and highlight novel nonantibacterial macrolides that are being studied for immunomodulatory and barrier-strengthening properties to circumvent the risk of bacterial resistance that occurs with macrolide antibacterials. We also briefly review the clinical effects of macrolides in respiratory and other inflammatory diseases associated with epithelial injury and propose that the beneficial epithelial effects of nonantibacterial azithromycin derivatives in chronic inflammation, even given prophylactically, are likely to gain increasing attention in the future. SIGNIFICANCE STATEMENT: Based on its immunomodulatory properties and ability to enhance the protective role of the lung epithelium against pathogens, azithromycin has proven superior to other macrolides in treating chronic respiratory inflammation. A nonantibiotic azithromycin derivative is likely to offer prophylactic benefits against inflammation and epithelial damage of differing causes while preserving the use of macrolides as antibiotics.
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Affiliation(s)
- Jennifer A Kricker
- EpiEndo Pharmaceuticals, Reykjavik, Iceland (J.A.K., C.P.P., F.R.G., O.B., T.G., M.J.P.); Stem Cell Research Unit, Biomedical Center, University of Iceland, Reykjavik, Iceland (J.A.K., T.G.); Sackler Institute of Pulmonary Pharmacology, Institute of Pharmaceutical Science, King's College London, London, United Kingdom (C.P.P.); Department of Respiratory Medicine (O.B.), Department of Laboratory Hematology (T.G.), Landspitali-University Hospital, Reykjavik, Iceland; Faculty of Biochemistry, Chemistry and Pharmacy, JW Goethe University Frankfurt am Main, Germany (M.J.P.)
| | - Clive P Page
- EpiEndo Pharmaceuticals, Reykjavik, Iceland (J.A.K., C.P.P., F.R.G., O.B., T.G., M.J.P.); Stem Cell Research Unit, Biomedical Center, University of Iceland, Reykjavik, Iceland (J.A.K., T.G.); Sackler Institute of Pulmonary Pharmacology, Institute of Pharmaceutical Science, King's College London, London, United Kingdom (C.P.P.); Department of Respiratory Medicine (O.B.), Department of Laboratory Hematology (T.G.), Landspitali-University Hospital, Reykjavik, Iceland; Faculty of Biochemistry, Chemistry and Pharmacy, JW Goethe University Frankfurt am Main, Germany (M.J.P.)
| | - Fridrik Runar Gardarsson
- EpiEndo Pharmaceuticals, Reykjavik, Iceland (J.A.K., C.P.P., F.R.G., O.B., T.G., M.J.P.); Stem Cell Research Unit, Biomedical Center, University of Iceland, Reykjavik, Iceland (J.A.K., T.G.); Sackler Institute of Pulmonary Pharmacology, Institute of Pharmaceutical Science, King's College London, London, United Kingdom (C.P.P.); Department of Respiratory Medicine (O.B.), Department of Laboratory Hematology (T.G.), Landspitali-University Hospital, Reykjavik, Iceland; Faculty of Biochemistry, Chemistry and Pharmacy, JW Goethe University Frankfurt am Main, Germany (M.J.P.)
| | - Olafur Baldursson
- EpiEndo Pharmaceuticals, Reykjavik, Iceland (J.A.K., C.P.P., F.R.G., O.B., T.G., M.J.P.); Stem Cell Research Unit, Biomedical Center, University of Iceland, Reykjavik, Iceland (J.A.K., T.G.); Sackler Institute of Pulmonary Pharmacology, Institute of Pharmaceutical Science, King's College London, London, United Kingdom (C.P.P.); Department of Respiratory Medicine (O.B.), Department of Laboratory Hematology (T.G.), Landspitali-University Hospital, Reykjavik, Iceland; Faculty of Biochemistry, Chemistry and Pharmacy, JW Goethe University Frankfurt am Main, Germany (M.J.P.)
| | - Thorarinn Gudjonsson
- EpiEndo Pharmaceuticals, Reykjavik, Iceland (J.A.K., C.P.P., F.R.G., O.B., T.G., M.J.P.); Stem Cell Research Unit, Biomedical Center, University of Iceland, Reykjavik, Iceland (J.A.K., T.G.); Sackler Institute of Pulmonary Pharmacology, Institute of Pharmaceutical Science, King's College London, London, United Kingdom (C.P.P.); Department of Respiratory Medicine (O.B.), Department of Laboratory Hematology (T.G.), Landspitali-University Hospital, Reykjavik, Iceland; Faculty of Biochemistry, Chemistry and Pharmacy, JW Goethe University Frankfurt am Main, Germany (M.J.P.)
| | - Michael J Parnham
- EpiEndo Pharmaceuticals, Reykjavik, Iceland (J.A.K., C.P.P., F.R.G., O.B., T.G., M.J.P.); Stem Cell Research Unit, Biomedical Center, University of Iceland, Reykjavik, Iceland (J.A.K., T.G.); Sackler Institute of Pulmonary Pharmacology, Institute of Pharmaceutical Science, King's College London, London, United Kingdom (C.P.P.); Department of Respiratory Medicine (O.B.), Department of Laboratory Hematology (T.G.), Landspitali-University Hospital, Reykjavik, Iceland; Faculty of Biochemistry, Chemistry and Pharmacy, JW Goethe University Frankfurt am Main, Germany (M.J.P.)
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Hsu CN, Bandrowski AE, Gillespie TH, Udell J, Lin KW, Ozyurt IB, Grethe JS, Martone ME. Comparing the Use of Research Resource Identifiers and Natural Language Processing for Citation of Databases, Software, and Other Digital Artifacts. Comput Sci Eng 2020. [DOI: 10.1109/mcse.2019.2952838] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Abstract
Purpose
Chemical databases have had a significant impact on the way scientists search for and use information. The purpose of this paper is to spark informed discussion and fuel debate on the issue of citations to chemical databases.
Design/methodology/approach
A citation analysis to four major chemical databases was undertaken to examine resource coverage and impact in the scientific literature. Two commercial databases (SciFinder and Reaxys) and two public databases (PubChem and ChemSpider) were analyzed using the “Cited Reference Search” in the Science Citation Index Expanded from the Web of Science (WoS) database. Citations to these databases between 2000 and 2016 (inclusive) were evaluated by document types and publication growth curves. A review of the distribution trends of chemical databases in peer-reviewed articles was conducted through a citation count analysis by country, organization, journal and WoS category.
Findings
In total, 862 scholarly articles containing a citation to one or more of the four databases were identified as only steadily increasing since 2000. The study determined that authors at academic institutions worldwide reference chemical databases in high-impact journals from notable publishers and mainly in the field of chemistry.
Originality/value
The research is a first attempt to evaluate the practice of citation to major chemical databases in the scientific literature. This paper proposes that citing chemical databases gives merit and recognition to the resources as well as credibility and validity to the scholarly communication process and also further discusses recommendations for citing and referencing databases.
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13
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How important is software to library and information science research? A content analysis of full-text publications. J Informetr 2019. [DOI: 10.1016/j.joi.2019.02.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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15
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Markosian C, Di Costanzo L, Sekharan M, Shao C, Burley SK, Zardecki C. Analysis of impact metrics for the Protein Data Bank. Sci Data 2018; 5:180212. [PMID: 30325351 PMCID: PMC6190746 DOI: 10.1038/sdata.2018.212] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Accepted: 08/29/2018] [Indexed: 01/13/2023] Open
Abstract
Since 1971, the Protein Data Bank (PDB) archive has served as the single, global repository for open access to atomic-level data for biological macromolecules. The archive currently holds >140,000 structures (>1 billion atoms). These structures are the molecules of life found in all organisms. Knowing the 3D structure of a biological macromolecule is essential for understanding the molecule's function, providing insights in health and disease, food and energy production, and other topics of concern to prosperity and sustainability. PDB data are freely and publicly available, without restrictions on usage. Through bibliometric and usage studies, we sought to determine the impact of the PDB across disciplines and demographics. Our analysis shows that even though research areas such as molecular biology and biochemistry account for the most usage, other fields are increasingly using PDB resources. PDB usage is seen across 150 disciplines in applied sciences, humanities, and social sciences. Data are also re-used and integrated with >400 resources. Our study identifies trends in PDB usage and documents its utility across research disciplines.
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Affiliation(s)
- Christopher Markosian
- Department of Molecular Biology and Biochemistry, School of Arts and Sciences, Rutgers, The State University of New Jersey, Piscataway, NJ USA
| | - Luigi Di Costanzo
- RCSB Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ USA
| | - Monica Sekharan
- RCSB Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ USA
| | - Chenghua Shao
- RCSB Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ USA
| | - Stephen K Burley
- RCSB Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ USA.,RCSB Protein Data Bank, Skaggs School of Pharmacy and Pharmaceutical Sciences and San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA USA.,Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ USA
| | - Christine Zardecki
- RCSB Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ USA
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16
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Burley SK, Berman HM, Christie C, Duarte JM, Feng Z, Westbrook J, Young J, Zardecki C. RCSB Protein Data Bank: Sustaining a living digital data resource that enables breakthroughs in scientific research and biomedical education. Protein Sci 2018; 27:316-330. [PMID: 29067736 PMCID: PMC5734314 DOI: 10.1002/pro.3331] [Citation(s) in RCA: 165] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Revised: 10/20/2017] [Accepted: 10/23/2017] [Indexed: 01/27/2023]
Abstract
The Protein Data Bank (PDB) is one of two archival resources for experimental data central to biomedical research and education worldwide (the other key Primary Data Archive in biology being the International Nucleotide Sequence Database Collaboration). The PDB currently houses >134,000 atomic level biomolecular structures determined by crystallography, NMR spectroscopy, and 3D electron microscopy. It was established in 1971 as the first open-access, digital-data resource in biology, and is managed by the Worldwide Protein Data Bank partnership (wwPDB; wwpdb.org). US PDB operations are conducted by the RCSB Protein Data Bank (RCSB PDB; RCSB.org; Rutgers University and UC San Diego) and funded by NSF, NIH, and DoE. The RCSB PDB serves as the global Archive Keeper for the wwPDB. During calendar 2016, >591 million structure data files were downloaded from the PDB by Data Consumers working in every sovereign nation recognized by the United Nations. During this same period, the RCSB PDB processed >5300 new atomic level biomolecular structures plus experimental data and metadata coming into the archive from Data Depositors working in the Americas and Oceania. In addition, RCSB PDB served >1 million RCSB.org users worldwide with PDB data integrated with ∼40 external data resources providing rich structural views of fundamental biology, biomedicine, and energy sciences, and >600,000 PDB101.rcsb.org educational website users around the globe. RCSB PDB resources are described in detail together with metrics documenting the impact of access to PDB data on basic and applied research, clinical medicine, education, and the economy.
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Affiliation(s)
- Stephen K. Burley
- Research Collaboratory for Structural Bioinformatics Protein Data BankInstitute for Quantitative Biomedicine, Rutgers, The State University of New JerseyPiscatawayNew Jersey08854
- Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical SchoolNew BrunswickNew Jersey08903
- Research Collaboratory for Structural Bioinformatics Protein Data BankSan Diego Supercomputer Center, University of California, San DiegoLa JollaCalifornia92093
| | - Helen M. Berman
- Research Collaboratory for Structural Bioinformatics Protein Data BankInstitute for Quantitative Biomedicine, Rutgers, The State University of New JerseyPiscatawayNew Jersey08854
| | - Cole Christie
- Research Collaboratory for Structural Bioinformatics Protein Data BankSan Diego Supercomputer Center, University of California, San DiegoLa JollaCalifornia92093
| | - Jose M. Duarte
- Research Collaboratory for Structural Bioinformatics Protein Data BankSan Diego Supercomputer Center, University of California, San DiegoLa JollaCalifornia92093
| | - Zukang Feng
- Research Collaboratory for Structural Bioinformatics Protein Data BankInstitute for Quantitative Biomedicine, Rutgers, The State University of New JerseyPiscatawayNew Jersey08854
| | - John Westbrook
- Research Collaboratory for Structural Bioinformatics Protein Data BankInstitute for Quantitative Biomedicine, Rutgers, The State University of New JerseyPiscatawayNew Jersey08854
| | - Jasmine Young
- Research Collaboratory for Structural Bioinformatics Protein Data BankInstitute for Quantitative Biomedicine, Rutgers, The State University of New JerseyPiscatawayNew Jersey08854
| | - Christine Zardecki
- Research Collaboratory for Structural Bioinformatics Protein Data BankInstitute for Quantitative Biomedicine, Rutgers, The State University of New JerseyPiscatawayNew Jersey08854
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17
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Zheng H, Porebski PJ, Grabowski M, Cooper DR, Minor W. Databases, Repositories, and Other Data Resources in Structural Biology. METHODS IN MOLECULAR BIOLOGY (CLIFTON, N.J.) 2017; 1607:643-665. [PMID: 28573593 DOI: 10.1007/978-1-4939-7000-1_27] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Structural biology, like many other areas of modern science, produces an enormous amount of primary, derived, and "meta" data with a high demand on data storage and manipulations. Primary data come from various steps of sample preparation, diffraction experiments, and functional studies. These data are not only used to obtain tangible results, like macromolecular structural models, but also to enrich and guide our analysis and interpretation of various biomedical problems. Herein we define several categories of data resources, (a) Archives, (b) Repositories, (c) Databases, and (d) Advanced Information Systems, that can accommodate primary, derived, or reference data. Data resources may be used either as web portals or internally by structural biology software. To be useful, each resource must be maintained, curated, as well as integrated with other resources. Ideally, the system of interconnected resources should evolve toward comprehensive "hubs", or Advanced Information Systems. Such systems, encompassing the PDB and UniProt, are indispensable not only for structural biology, but for many related fields of science. The categories of data resources described herein are applicable well beyond our usual scientific endeavors.
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Affiliation(s)
- Heping Zheng
- Department of Molecular Physiology and Biological Physics, University of Virginia School of Medicine, 1340 Jefferson Park Avenue, Jordan Hall, Room 4223, Charlottesville, VA, 22908, USA
| | - Przemyslaw J Porebski
- Department of Molecular Physiology and Biological Physics, University of Virginia School of Medicine, 1340 Jefferson Park Avenue, Jordan Hall, Room 4223, Charlottesville, VA, 22908, USA
| | - Marek Grabowski
- Department of Molecular Physiology and Biological Physics, University of Virginia School of Medicine, 1340 Jefferson Park Avenue, Jordan Hall, Room 4223, Charlottesville, VA, 22908, USA
| | - David R Cooper
- Department of Molecular Physiology and Biological Physics, University of Virginia School of Medicine, 1340 Jefferson Park Avenue, Jordan Hall, Room 4223, Charlottesville, VA, 22908, USA
| | - Wladek Minor
- Department of Molecular Physiology and Biological Physics, University of Virginia School of Medicine, 1340 Jefferson Park Avenue, Jordan Hall, Room 4223, Charlottesville, VA, 22908, USA.
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18
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Silvello G. Learning to cite framework: How to automatically construct citations for hierarchical data. J Assoc Inf Sci Technol 2017. [DOI: 10.1002/asi.23774] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Gianmaria Silvello
- Department of Information Engineering; University of Padua; via Gradenigo 6/B Padua Italy
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An Y, Wang J, Li C, Revote J, Zhang Y, Naderer T, Hayashida M, Akutsu T, Webb GI, Lithgow T, Song J. SecretEPDB: a comprehensive web-based resource for secreted effector proteins of the bacterial types III, IV and VI secretion systems. Sci Rep 2017; 7:41031. [PMID: 28112271 PMCID: PMC5253721 DOI: 10.1038/srep41031] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2016] [Accepted: 12/14/2016] [Indexed: 12/28/2022] Open
Abstract
Bacteria translocate effector molecules to host cells through highly evolved secretion systems. By definition, the function of these effector proteins is to manipulate host cell biology and the sequence, structural and functional annotations of these effector proteins will provide a better understanding of how bacterial secretion systems promote bacterial survival and virulence. Here we developed a knowledgebase, termed SecretEPDB (Bacterial Secreted Effector Protein DataBase), for effector proteins of type III secretion system (T3SS), type IV secretion system (T4SS) and type VI secretion system (T6SS). SecretEPDB provides enriched annotations of the aforementioned three classes of effector proteins by manually extracting and integrating structural and functional information from currently available databases and the literature. The database is conservative and strictly curated to ensure that every effector protein entry is supported by experimental evidence that demonstrates it is secreted by a T3SS, T4SS or T6SS. The annotations of effector proteins documented in SecretEPDB are provided in terms of protein characteristics, protein function, protein secondary structure, Pfam domains, metabolic pathway and evolutionary details. It is our hope that this integrated knowledgebase will serve as a useful resource for biological investigation and the generation of new hypotheses for research efforts aimed at bacterial secretion systems.
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Affiliation(s)
- Yi An
- College of Information Engineering, Northwest A&F University, Yangling 712100, China.,Monash Centre for Data Science, Faculty of Information Technology, Monash University, Melbourne, VIC 3800, Australia
| | - Jiawei Wang
- School of Electronic and Computer Engineering, Peking University, Beijing 100871, China
| | - Chen Li
- Infection and Immunity Program, Biomedicine Discovery Institute and Department of Microbiology, Monash University, Melbourne, VIC 3800, Australia
| | - Jerico Revote
- Monash Bioinformatics Platform, Monash University, Melbourne, VIC 3800, Australia
| | - Yang Zhang
- College of Information Engineering, Northwest A&F University, Yangling 712100, China
| | - Thomas Naderer
- Infection and Immunity Program, Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC 3800, Australia
| | - Morihiro Hayashida
- Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - Tatsuya Akutsu
- Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - Geoffrey I Webb
- Monash Centre for Data Science, Faculty of Information Technology, Monash University, Melbourne, VIC 3800, Australia
| | - Trevor Lithgow
- Infection and Immunity Program, Biomedicine Discovery Institute and Department of Microbiology, Monash University, Melbourne, VIC 3800, Australia
| | - Jiangning Song
- Monash Centre for Data Science, Faculty of Information Technology, Monash University, Melbourne, VIC 3800, Australia.,Infection and Immunity Program, Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC 3800, Australia
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20
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Rose PW, Prlić A, Altunkaya A, Bi C, Bradley AR, Christie CH, Costanzo LD, Duarte JM, Dutta S, Feng Z, Green RK, Goodsell DS, Hudson B, Kalro T, Lowe R, Peisach E, Randle C, Rose AS, Shao C, Tao YP, Valasatava Y, Voigt M, Westbrook JD, Woo J, Yang H, Young JY, Zardecki C, Berman HM, Burley SK. The RCSB protein data bank: integrative view of protein, gene and 3D structural information. Nucleic Acids Res 2016; 45:D271-D281. [PMID: 27794042 PMCID: PMC5210513 DOI: 10.1093/nar/gkw1000] [Citation(s) in RCA: 384] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2016] [Revised: 10/12/2016] [Accepted: 10/14/2016] [Indexed: 12/02/2022] Open
Abstract
The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB, http://rcsb.org), the US data center for the global PDB archive, makes PDB data freely available to all users, from structural biologists to computational biologists and beyond. New tools and resources have been added to the RCSB PDB web portal in support of a ‘Structural View of Biology.’ Recent developments have improved the User experience, including the high-speed NGL Viewer that provides 3D molecular visualization in any web browser, improved support for data file download and enhanced organization of website pages for query, reporting and individual structure exploration. Structure validation information is now visible for all archival entries. PDB data have been integrated with external biological resources, including chromosomal position within the human genome; protein modifications; and metabolic pathways. PDB-101 educational materials have been reorganized into a searchable website and expanded to include new features such as the Geis Digital Archive.
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Affiliation(s)
- Peter W Rose
- RCSB Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA 92093, USA
| | - Andreas Prlić
- RCSB Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA 92093, USA
| | - Ali Altunkaya
- RCSB Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA 92093, USA
| | - Chunxiao Bi
- RCSB Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA 92093, USA
| | - Anthony R Bradley
- RCSB Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA 92093, USA
| | - Cole H Christie
- RCSB Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA 92093, USA
| | - Luigi Di Costanzo
- RCSB Protein Data Bank, Department of Chemistry and Chemical Biology, Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Jose M Duarte
- RCSB Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA 92093, USA
| | - Shuchismita Dutta
- RCSB Protein Data Bank, Department of Chemistry and Chemical Biology, Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Zukang Feng
- RCSB Protein Data Bank, Department of Chemistry and Chemical Biology, Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Rachel Kramer Green
- RCSB Protein Data Bank, Department of Chemistry and Chemical Biology, Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - David S Goodsell
- RCSB Protein Data Bank, Department of Chemistry and Chemical Biology, Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.,Department of Molecular Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Brian Hudson
- RCSB Protein Data Bank, Department of Chemistry and Chemical Biology, Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Tara Kalro
- RCSB Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA 92093, USA
| | - Robert Lowe
- RCSB Protein Data Bank, Department of Chemistry and Chemical Biology, Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Ezra Peisach
- RCSB Protein Data Bank, Department of Chemistry and Chemical Biology, Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Christopher Randle
- RCSB Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA 92093, USA
| | - Alexander S Rose
- RCSB Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA 92093, USA
| | - Chenghua Shao
- RCSB Protein Data Bank, Department of Chemistry and Chemical Biology, Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Yi-Ping Tao
- RCSB Protein Data Bank, Department of Chemistry and Chemical Biology, Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Yana Valasatava
- RCSB Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA 92093, USA
| | - Maria Voigt
- RCSB Protein Data Bank, Department of Chemistry and Chemical Biology, Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - John D Westbrook
- RCSB Protein Data Bank, Department of Chemistry and Chemical Biology, Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Jesse Woo
- RCSB Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA 92093, USA
| | - Huangwang Yang
- RCSB Protein Data Bank, Department of Chemistry and Chemical Biology, Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Jasmine Y Young
- RCSB Protein Data Bank, Department of Chemistry and Chemical Biology, Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Christine Zardecki
- RCSB Protein Data Bank, Department of Chemistry and Chemical Biology, Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Helen M Berman
- RCSB Protein Data Bank, Department of Chemistry and Chemical Biology, Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Stephen K Burley
- RCSB Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA 92093, USA .,RCSB Protein Data Bank, Department of Chemistry and Chemical Biology, Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.,Institute for Quantitative BioMedicine and Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA.,Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA 92093, USA
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21
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Mayernik MS, Hart DL, Maull KE, Weber NM. Assessing and tracing the outcomes and impact of research infrastructures. J Assoc Inf Sci Technol 2016. [DOI: 10.1002/asi.23721] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Affiliation(s)
- Matthew S. Mayernik
- NCAR Library, National Center for Atmospheric Research (NCAR)P.O. Box 3000Boulder CO80307‐3000
| | - David L. Hart
- Computational & Information Systems Laboratory, National Center for Atmospheric Research (NCAR)P.O. Box 3000Boulder CO 80307‐3000
| | - Keith E. Maull
- NCAR Library, National Center for Atmospheric Research (NCAR)P.O. Box 3000Boulder CO80307‐3000
| | - Nicholas M. Weber
- Information School, University of WashingtonBox 352840Seattle WA98195‐2840
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