2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      DichroPipeline: A suite of online and downloadable tools and resources for protein circular dichroism spectroscopic data analyses, interpretations, and their interoperability with other bioinformatics tools and resources

      methods-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Circular Dichroism (CD) spectroscopy is a widely‐used method for characterizing individual protein structures in solutions, membranes, films and macromolecular complexes, as well as for probing macromolecular interactions, conformational changes associated with binding substrates, and in different functionally‐related environments. This paper describes a series of related computational and display tools that have been developed over many years to aid in those characterizations and functional interpretations. The new DichroPipeline described herein links a series of format‐compatible data processing, analysis, and display tools to enable users to facilely produce the spectra, which can then be made available in the Protein Circular Dichroism Data Bank ( https://pcddb.cryst.bbk.ac.uk/) resource, in which the CD spectral and associated metadata for each entry are linked to other structural and functional data bases including the Protein Data Bank (PDB), and the UniProt sequence data base, amongst others. These tools and resources thus provide the basis for a wide range of traceable structural characterizations of soluble, membrane and intrinsically‐disordered proteins.

          Related collections

          Most cited references29

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Highly accurate protein structure prediction with AlphaFold

          Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through an enormous experimental effort 1 – 4 , the structures of around 100,000 unique proteins have been determined 5 , but this represents a small fraction of the billions of known protein sequences 6 , 7 . Structural coverage is bottlenecked by the months to years of painstaking effort required to determine a single protein structure. Accurate computational approaches are needed to address this gap and to enable large-scale structural bioinformatics. Predicting the three-dimensional structure that a protein will adopt based solely on its amino acid sequence—the structure prediction component of the ‘protein folding problem’ 8 —has been an important open research problem for more than 50 years 9 . Despite recent progress 10 – 14 , existing methods fall far short of atomic accuracy, especially when no homologous structure is available. Here we provide the first computational method that can regularly predict protein structures with atomic accuracy even in cases in which no similar structure is known. We validated an entirely redesigned version of our neural network-based model, AlphaFold, in the challenging 14th Critical Assessment of protein Structure Prediction (CASP14) 15 , demonstrating accuracy competitive with experimental structures in a majority of cases and greatly outperforming other methods. Underpinning the latest version of AlphaFold is a novel machine learning approach that incorporates physical and biological knowledge about protein structure, leveraging multi-sequence alignments, into the design of the deep learning algorithm. AlphaFold predicts protein structures with an accuracy competitive with experimental structures in the majority of cases using a novel deep learning architecture.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Protein secondary structure analyses from circular dichroism spectroscopy: methods and reference databases.

            Circular dichroism (CD) spectroscopy has been a valuable method for the analysis of protein secondary structures for many years. With the advent of synchrotron radiation circular dichroism (SRCD) and improvements in instrumentation for conventional CD, lower wavelength data are obtainable and the information content of the spectra increased. In addition, new computation and bioinformatics methods have been developed and new reference databases have been created, which greatly improve and facilitate the analyses of CD spectra. This article discusses recent developments in the analysis of protein secondary structures, including features of the DICHROWEB analysis webserver.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              DICHROWEB, an online server for protein secondary structure analyses from circular dichroism spectroscopic data.

              The DICHROWEB web server enables on-line analyses of circular dichroism (CD) spectroscopic data, providing calculated secondary structure content and graphical analyses comparing calculated structures and experimental data. The server is located at http://www.cryst.bbk.ac.uk/cdweb and may be accessed via a password-limited user ID, available upon completion of a registration form. The server facilitates analyses using five popular algorithms and (currently) seven different reference databases by accepting data in a user-friendly manner in a wide range of formats, including those output by both commercial CD instruments and synchrotron radiation-based circular dichroism beamlines, as well as those produced by spectral processing software packages. It produces as output calculated secondary structures, a goodness-of-fit parameter for the analyses, and tabular and graphical displays of experimental, calculated and difference spectra. The web pages associated with the server provide information on CD spectroscopic methods and terms, literature references and aids for interpreting the analysis results.
                Bookmark

                Author and article information

                Contributors
                b.wallace@bbk.ac.uk
                Journal
                Protein Sci
                Protein Sci
                10.1002/(ISSN)1469-896X
                PRO
                Protein Science : A Publication of the Protein Society
                John Wiley & Sons, Inc. (Hoboken, USA )
                0961-8368
                1469-896X
                December 2023
                01 December 2023
                01 December 2023
                : 32
                : 12 ( doiID: 10.1002/pro.v32.12 )
                : e4817
                Affiliations
                [ 1 ] School of Biological and Behavioural Sciences Queen Mary University of London London UK
                [ 2 ] School of Biological Sciences Birkbeck University of London London UK
                Author notes
                [*] [* ] Correspondence

                B. A. Wallace, School of Biological Sciences, Birkbeck University of London, Malet Street, London WC1E 7HX, UK.

                Email: b.wallace@ 123456bbk.ac.uk

                Author information
                https://orcid.org/0000-0001-5483-6282
                https://orcid.org/0000-0001-9649-5092
                Article
                PRO4817
                10.1002/pro.4817
                10680340
                37881887
                52e9fb05-296b-45df-8917-37ce543c0b3e
                © 2023 The Authors. Protein Science published by Wiley Periodicals LLC on behalf of The Protein Society.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 01 September 2023
                : 30 September 2023
                Page count
                Figures: 1, Tables: 1, Pages: 7, Words: 4252
                Funding
                Funded by: Biotechnology and Biological Sciences Research Council , doi 10.13039/501100000268;
                Award ID: BB/P024092(B.A.Wallace)
                Award ID: BB/P024106(R.W.Janes)
                Funded by: International Union of Pure and Applied Chemistry , doi 10.13039/100006987;
                Funded by: Royal Society , doi 10.13039/501100000288;
                Categories
                Tools for Protein Science
                Tools for Protein Science
                Custom metadata
                2.0
                December 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.5 mode:remove_FC converted:27.11.2023

                Biochemistry
                circular dichroism (cd) spectroscopy,data processing,github repository,intrinsically‐disordered proteins (idps),membrane proteins,online tools and resources,protein circular dichroism data bank (pcddb),protein structure,secondary structure analyses,soluble proteins,spectral displays and comparison methods,validation procedures

                Comments

                Comment on this article