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1.
J Biomol NMR ; 74(10-11): 565-577, 2020 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-32638146

RESUMO

Fragment-based drug discovery or FBDD is one of the main methods used by industry and academia for identifying drug-like candidates in early stages of drug discovery. NMR has a significant impact at any stage of the drug discovery process, from primary identification of small molecules to the elucidation of binding modes for guiding optimisations. The essence of NMR as an analytical tool, however, requires the processing and analysis of relatively large amounts of single data items, e.g. spectra, which can be daunting when managed manually. One bottleneck in FBDD by NMR is a lack of adequate and well-integrated resources for NMR data analysis that are freely available to the community. Thus, scientists typically resort to manually inspecting large datasets and relying predominantly on subjective interpretations. In this manuscript, we present CcpNmr AnalysisScreen, a software package that provides computational tools for automated analysis of FBDD data by NMR. We outline how the quality of collected spectra can be evaluated quickly, and how robust workflows can be optimised for reliable and rapid hit identification. With an intuitive graphical user interface and powerful algorithms, AnalysisScreen enables easy analysis of the large datasets needed in the early process of drug discovery by NMR.


Assuntos
Química Computacional/métodos , Descoberta de Drogas/métodos , Ressonância Magnética Nuclear Biomolecular/métodos , Algoritmos , Ligantes , Software , Interface Usuário-Computador , Fluxo de Trabalho
2.
Can J Microbiol ; 66(12): 723-732, 2020 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-32762636

RESUMO

CcpN is a transcriptional repressor in Bacillus subtilis that binds to the promoter region of gapB and pckA, downregulating their expression in the presence of glucose. CcpN also represses sr1, which encodes a small noncoding regulatory RNA that suppresses the arginine biosynthesis gene cluster. CcpN has homologues in other Gram-positive bacteria, including Enterococcus faecalis. We report the interaction of CcpN with DivIVA of B. subtilis as determined using bacterial two-hybrid and glutathione S-transferase pull-down assays. Insertional inactivation of CcpN leads to cell elongation and formation of straight chains of cells. These findings suggest that CcpN is a moonlighting protein involved in both gluconeogenesis and cell elongation.


Assuntos
Bacillus subtilis/citologia , Bacillus subtilis/metabolismo , Proteínas de Bactérias/metabolismo , Proteínas de Ciclo Celular/metabolismo , Bacillus subtilis/genética , Proteínas de Bactérias/genética , Repressão Catabólica/genética , Regulação Bacteriana da Expressão Gênica/genética , Gluconeogênese/genética
3.
J Biomol NMR ; 66(2): 111-124, 2016 10.
Artigo em Inglês | MEDLINE | ID: mdl-27663422

RESUMO

NMR spectroscopy is an indispensably powerful technique for the analysis of biomolecules under ambient conditions, both for structural- and functional studies. However, in practice the complexity of the technique has often frustrated its application by non-specialists. In this paper, we present CcpNmr version-3, the latest software release from the Collaborative Computational Project for NMR, for all aspects of NMR data analysis, including liquid- and solid-state NMR data. This software has been designed to be simple, functional and flexible, and aims to ensure that routine tasks can be performed in a straightforward manner. We have designed the software according to modern software engineering principles and leveraged the capabilities of modern graphics libraries to simplify a variety of data analysis tasks. We describe the process of backbone assignment as an example of the flexibility and simplicity of implementing workflows, as well as the toolkit used to create the necessary graphics for this workflow. The package can be downloaded from www.ccpn.ac.uk/v3-software/downloads and is freely available to all non-profit organisations.


Assuntos
Ressonância Magnética Nuclear Biomolecular/métodos , Software , Estatística como Assunto , Estrutura Molecular , Interface Usuário-Computador , Fluxo de Trabalho
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