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  • 1
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    PconsC: combination of direct information methods and alignments improves contact prediction (2013)
    Oxford University Press
    Details
    Publication Date: 2013-07-06
    Description: : Recently, several new contact prediction methods have been published. They use (i) large sets of multiple aligned sequences and (ii) assume that correlations between columns in these alignments can be the results of indirect interaction. These methods are clearly superior to earlier methods when it comes to predicting contacts in proteins. Here, we demonstrate that combining predictions from two prediction methods, PSICOV and plmDCA, and two alignment methods, HHblits and jackhmmer at four different e-value cut-offs, provides a relative improvement of 20% in comparison with the best single method, exceeding 70% correct predictions for one contact prediction per residue. Availability: The source code for PconsC along with supplementary data is freely available at http://c.pcons.net/ Contact: arne@bioinfo.se Supplementary information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
    Published by Oxford University Press
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  • 2
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    Molecular recognition of a single sphingolipid species by a protein's transmembrane domain (2012)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2012-01-11
    Description: Functioning and processing of membrane proteins critically depend on the way their transmembrane segments are embedded in the membrane. Sphingolipids are structural components of membranes and can also act as intracellular second messengers. Not much is known of sphingolipids binding to transmembrane domains (TMDs) of proteins within the hydrophobic bilayer, and how this could affect protein function. Here we show a direct and highly specific interaction of exclusively one sphingomyelin species, SM 18, with the TMD of the COPI machinery protein p24 (ref. 2). Strikingly, the interaction depends on both the headgroup and the backbone of the sphingolipid, and on a signature sequence (VXXTLXXIY) within the TMD. Molecular dynamics simulations show a close interaction of SM 18 with the TMD. We suggest a role of SM 18 in regulating the equilibrium between an inactive monomeric and an active oligomeric state of the p24 protein, which in turn regulates COPI-dependent transport. Bioinformatic analyses predict that the signature sequence represents a conserved sphingolipid-binding cavity in a variety of mammalian membrane proteins. Thus, in addition to a function as second messengers, sphingolipids can act as cofactors to regulate the function of transmembrane proteins. Our discovery of an unprecedented specificity of interaction of a TMD with an individual sphingolipid species adds to our understanding of why biological membranes are assembled from such a large variety of different lipids.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Contreras, F-Xabier -- Ernst, Andreas M -- Haberkant, Per -- Bjorkholm, Patrik -- Lindahl, Erik -- Gonen, Basak -- Tischer, Christian -- Elofsson, Arne -- von Heijne, Gunnar -- Thiele, Christoph -- Pepperkok, Rainer -- Wieland, Felix -- Brugger, Britta -- 232648/European Research Council/International -- England -- Nature. 2012 Jan 9;481(7382):525-9. doi: 10.1038/nature10742.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Heidelberg University Biochemistry Center, Im Neuenheimer Feld 328, 69120 Heidelberg, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22230960" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Motifs ; Amino Acid Sequence ; Animals ; Binding Sites ; CHO Cells ; COP-Coated Vesicles/metabolism ; Cell Membrane/*metabolism ; Computational Biology ; Conserved Sequence ; Cricetinae ; Membrane Proteins/*chemistry/*metabolism ; Models, Molecular ; Molecular Sequence Data ; Protein Binding ; Protein Multimerization ; Protein Structure, Tertiary ; Protein Transport ; Second Messenger Systems/physiology ; Sphingolipids/*metabolism ; Sphingomyelins/metabolism ; Substrate Specificity
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Nature Publishing Group (NPG)
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  • 3
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    Molecular architecture of the active mitochondrial protein gate (2015)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2015-09-26
    Description: Mitochondria fulfill central functions in cellular energetics, metabolism, and signaling. The outer membrane translocator complex (the TOM complex) imports most mitochondrial proteins, but its architecture is unknown. Using a cross-linking approach, we mapped the active translocator down to single amino acid residues, revealing different transport paths for preproteins through the Tom40 channel. An N-terminal segment of Tom40 passes from the cytosol through the channel to recruit chaperones from the intermembrane space that guide the transfer of hydrophobic preproteins. The translocator contains three Tom40 beta-barrel channels sandwiched between a central alpha-helical Tom22 receptor cluster and external regulatory Tom proteins. The preprotein-translocating trimeric complex exchanges with a dimeric isoform to assemble new TOM complexes. Dynamic coupling of alpha-helical receptors, beta-barrel channels, and chaperones generates a versatile machinery that transports about 1000 different proteins.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Shiota, Takuya -- Imai, Kenichiro -- Qiu, Jian -- Hewitt, Victoria L -- Tan, Khershing -- Shen, Hsin-Hui -- Sakiyama, Noriyuki -- Fukasawa, Yoshinori -- Hayat, Sikander -- Kamiya, Megumi -- Elofsson, Arne -- Tomii, Kentaro -- Horton, Paul -- Wiedemann, Nils -- Pfanner, Nikolaus -- Lithgow, Trevor -- Endo, Toshiya -- New York, N.Y. -- Science. 2015 Sep 25;349(6255):1544-8. doi: 10.1126/science.aac6428.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Biomedicine Discovery Institute and Department of Microbiology, Monash University, Melbourne, Victoria 3800, Australia. Department of Chemistry, Graduate School of Science, Nagoya University, Chikusa-ku, Nagoya 464-8602, Japan. ; Biotechnology Research Institute for Drug Discovery, National Institute of Advanced Industrial Science and Technology, 2-4-7 Aomi, Koto-ku, Tokyo 135-0064, Japan. ; Institut fur Biochemie und Molekularbiologie, Universitat Freiburg, 79104 Freiburg, Germany. ; Biomedicine Discovery Institute and Department of Microbiology, Monash University, Melbourne, Victoria 3800, Australia. ; Department of Biochemistry and Biophysics and Science for Life Laboratory, Stockholm University, Box 1031, 17121 Solna, Sweden. ; Department of Chemistry, Graduate School of Science, Nagoya University, Chikusa-ku, Nagoya 464-8602, Japan. ; Institut fur Biochemie und Molekularbiologie, Universitat Freiburg, 79104 Freiburg, Germany. Centre for Biological Signalling Studies, Universitat Freiburg, 79104 Freiburg, Germany. ; Department of Chemistry, Graduate School of Science, Nagoya University, Chikusa-ku, Nagoya 464-8602, Japan. Faculty of Life Sciences, Kyoto Sangyo University, Kamigamo-motoyama, Kita-ku, Kyoto 603-8555, Japan.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26404837" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Sequence ; Cytosol/metabolism ; Mitochondrial Membrane Transport Proteins/*chemistry/metabolism ; Molecular Chaperones ; Molecular Sequence Data ; Protein Multimerization ; Protein Structure, Secondary ; Protein Transport ; Saccharomyces cerevisiae Proteins/*chemistry/metabolism
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 4
    Electronic Resource
    Electronic Resource
    How Consistent are Molecular Dynamics Simulations?
    Amsterdam : Elsevier
    Journal of Molecular Biology 233 (1993), S. 766-780 
    Details
    ISSN: 0022-2836
    Keywords: langevin simulations ; molecular dynamics simulations ; protein dynamics ; protein structure ; thioredoxin
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Biology
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1006/jmbi.1993.1551
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  • 5
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    Prediction of membrane-protein topology from first principles (2008)
    National Academy of Sciences
    Details
    Publication Date: 2008-05-13
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
    Published by National Academy of Sciences
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  • 6
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    Transmembrane {beta}-barrel 3D structure prediction [Biophysics and Computational Biology] (2015)
    National Academy of Sciences
    Details
    Publication Date: 2015-04-29
    Description: Transmembrane β-barrels (TMBs) carry out major functions in substrate transport and protein biogenesis but experimental determination of their 3D structure is challenging. Encouraged by successful de novo 3D structure prediction of globular and α-helical membrane proteins from sequence alignments alone, we developed an approach to predict the 3D structure of...
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
    Published by National Academy of Sciences
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  • 7
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    The TOPCONS web server for consensus prediction of membrane protein topology and signal peptides (2015)
    Oxford University Press
    Details
    Publication Date: 2015-07-02
    Description: TOPCONS ( http://topcons.net/ ) is a widely used web server for consensus prediction of membrane protein topology. We hereby present a major update to the server, with some substantial improvements, including the following: (i) TOPCONS can now efficiently separate signal peptides from transmembrane regions. (ii) The server can now differentiate more successfully between globular and membrane proteins. (iii) The server now is even slightly faster, although a much larger database is used to generate the multiple sequence alignments. For most proteins, the final prediction is produced in a matter of seconds. (iv) The user-friendly interface is retained, with the additional feature of submitting batch files and accessing the server programmatically using standard interfaces, making it thus ideal for proteome-wide analyses. Indicatively, the user can now scan the entire human proteome in a few days. (v) For proteins with homology to a known 3D structure, the homology-inferred topology is also displayed. (vi) Finally, the combination of methods currently implemented achieves an overall increase in performance by 4% as compared to the currently available best-scoring methods and TOPCONS is the only method that can identify signal peptides and still maintain a state-of-the-art performance in topology predictions.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
    Published by Oxford University Press
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  • 8
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    BOCTOPUS: improved topology prediction of transmembrane {beta} barrel proteins (2012)
    Oxford University Press
    Details
    Publication Date: 2012-02-17
    Description: Motivation: Transmembrane β barrel proteins (TMBs) are found in the outer membrane of Gram-negative bacteria, chloroplast and mitochondria. They play a major role in the translocation machinery, pore formation, membrane anchoring and ion exchange. TMBs are also promising targets for antimicrobial drugs and vaccines. Given the difficulty in membrane protein structure determination, computational methods to identify TMBs and predict the topology of TMBs are important. Results: Here, we present BOCTOPUS; an improved method for the topology prediction of TMBs by employing a combination of support vector machines (SVMs) and Hidden Markov Models (HMMs). The SVMs and HMMs account for local and global residue preferences, respectively. Based on a 10-fold cross-validation test, BOCTOPUS performs better than all existing methods, reaching a Q3 accuracy of 87%. Further, BOCTOPUS predicted the correct number of strands for 83% proteins in the dataset. BOCTOPUS might also help in reliable identification of TMBs by using it as an additional filter to methods specialized in this task. Availability: BOCTOPUS is freely available as a web server at: http://boctopus.cbr.su.se/ . The datasets used for training and evaluations are also available from this site. Contact: arne@bioinfo.se Supplementary information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
    Published by Oxford University Press
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  • 9
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    PconsFold: improved contact predictions improve protein models (2014)
    Oxford University Press
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    Publication Date: 2014-08-27
    Description: Motivation: Recently it has been shown that the quality of protein contact prediction from evolutionary information can be improved significantly if direct and indirect information is separated. Given sufficiently large protein families, the contact predictions contain sufficient information to predict the structure of many protein families. However, since the first studies contact prediction methods have improved. Here, we ask how much the final models are improved if improved contact predictions are used. Results: In a small benchmark of 15 proteins, we show that the TM-scores of top-ranked models are improved by on average 33% using PconsFold compared with the original version of EVfold. In a larger benchmark, we find that the quality is improved with 15–30% when using PconsC in comparison with earlier contact prediction methods. Further, using Rosetta instead of CNS does not significantly improve global model accuracy, but the chemistry of models generated with Rosetta is improved. Availability: PconsFold is a fully automated pipeline for ab initio protein structure prediction based on evolutionary information. PconsFold is based on PconsC contact prediction and uses the Rosetta folding protocol. Due to its modularity, the contact prediction tool can be easily exchanged. The source code of PconsFold is available on GitHub at https://www.github.com/ElofssonLab/pcons-fold under the MIT license. PconsC is available from http://c.pcons.net/ . Contact: arne@bioinfo.se Supplementary information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
    Published by Oxford University Press
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  • 10
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    Inclusion of dyad-repeat pattern improves topology prediction of transmembrane {beta}-barrel proteins (2016)
    Oxford University Press
    Details
    Publication Date: 2016-05-14
    Description: : Accurate topology prediction of transmembrane β-barrels is still an open question. Here, we present BOCTOPUS2, an improved topology prediction method for transmembrane β-barrels that can also identify the barrel domain, predict the topology and identify the orientation of residues in transmembrane β-strands. The major novelty of BOCTOPUS2 is the use of the dyad-repeat pattern of lipid and pore facing residues observed in transmembrane β-barrels. In a cross-validation test on a benchmark set of 42 proteins, BOCTOPUS2 predicts the correct topology in 69% of the proteins, an improvement of more than 10% over the best earlier method (BOCTOPUS) and in addition, it produces significantly fewer erroneous predictions on non-transmembrane β-barrel proteins. Availability and implementation : BOCTOPUS2 webserver along with full dataset and source code is available at http://boctopus.bioinfo.se/ Contact : arne@bioinfo.se Supplementary information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
    Published by Oxford University Press
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