David Tudor Jones
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David Tudor Jones
David Tudor Jones (born 1966) is a Professor of Bioinformatics, and Head of Bioinformatics Group in the University College London. He is also the director in Bloomsbury Center for Bioinformatics, which is a joint Research Centre between UCL and Birkbeck, University of London and which also provides bioinformatics training and support services to biomedical researchers. In 2013, he is a member of editorial boards for '' PLoS ONE'', ''BioData Mining'', ''Advanced Bioinformatics'', ''Chemical Biology & Drug Design'', and ''Protein: Structure, Function and Bioinformatics''. Education Jones was educated at Imperial College London where he was awarded a Bachelor of Science degree in Physics. He moved to King's College London to complete a Master of Science degree in Biochemistry followed by University College London where he was awarded a PhD in 1993 for research supervised by William R. Taylor and Janet Thornton. Research and career Jones's main research interests are in protein str ...
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Companies House
Companies House is the executive agency of the company registrars of the United Kingdom, falling under the remit of the Department for Business, Energy and Industrial Strategy. All forms of companies (as permitted by the Companies Act) are incorporated and registered with Companies House and file specific details as required by legislation. All registered limited companies, including subsidiary, small and inactive companies, must file annual financial statements in addition to annual company returns, and all these are public records. Only some registered unlimited companies (meeting certain conditions) are exempt from this requirement. The United Kingdom has had a system of company registration since 1844. The legislation governing company registration matters is the Companies Act 2006. History 19th century Prior to 1844, companies could only be incorporated through grant of a royal charter, by private act of Parliament, or, from 1834, by letters patent. Few companie ...
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University Of London
The University of London (UoL; abbreviated as Lond or more rarely Londin in post-nominals) is a federal public research university located in London, England, United Kingdom. The university was established by royal charter in 1836 as a degree-awarding examination board for students holding certificates from University College London and King's College London and "other such other Institutions, corporate or unincorporated, as shall be established for the purpose of Education, whether within the Metropolis or elsewhere within our United Kingdom". This fact allows it to be one of three institutions to claim the title of the third-oldest university in England, and moved to a federal structure in 1900. It is now incorporated by its fourth (1863) royal charter and governed by the University of London Act 2018. It was the first university in the United Kingdom to introduce examinations for women in 1869 and, a decade later, the first to admit women to degrees. In 1913, it appointe ...
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Nucleic Acids Research
''Nucleic Acids Research'' is an open-access peer-reviewed scientific journal published since 1974 by the Oxford University Press. The journal covers research on nucleic acids, such as DNA and RNA, and related work. According to the ''Journal Citation Reports'', the journal's 2021 impact factor is 19.160. The journal publishes two yearly special issues, the first issue of each year is dedicated to biological databases, published in January since 1993, and the other is devoted to papers describing web-based software resources of value to the biological community (web server A web server is computer software and underlying hardware that accepts requests via HTTP (the network protocol created to distribute web content) or its secure variant HTTPS. A user agent, commonly a web browser or web crawler, initiate ...s), published in July since 2003. References External links * * Archives , https://www.ncbi.nlm.nih.gov/pmc/journals/4/ Biochemistry journals Open access j ...
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Protein Data Bank
The Protein Data Bank (PDB) is a database for the three-dimensional structural data of large biological molecules, such as proteins and nucleic acids. The data, typically obtained by X-ray crystallography, NMR spectroscopy, or, increasingly, cryo-electron microscopy, and submitted by biologists and biochemists from around the world, are freely accessible on the Internet via the websites of its member organisations (PDBe, PDBj, RCSB, and BMRB). The PDB is overseen by an organization called the Worldwide Protein Data Bank, wwPDB. The PDB is a key in areas of structural biology, such as structural genomics. Most major scientific journals and some funding agencies now require scientists to submit their structure data to the PDB. Many other databases use protein structures deposited in the PDB. For example, SCOP and CATH classify protein structures, while PDBsum provides a graphic overview of PDB entries using information from other sources, such as Gene ontology. History Two force ...
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Christine Orengo
Christine Anne Orengo is a Professor of Bioinformatics at University College London (UCL)Christine Orengo's known for her work on protein structure, particularly the CATH database. Orengo serves as president of the International Society for Computational Biology (ISCB), the first woman to do so in the history of the society. Education Orengo studied Chemical Physics at the University of Bristol where she was awarded a Bachelor of Science degree in 1976. She continued her studies at the University of Aberdeen where she was awarded a Master of Science degree in Medical Physics in 1977 for research on the disruption of iron metabolism in laboratory rats with Yoshida sarcomas. She was awarded a PhD for research on the redox properties of haem in proteins in 1984 from UCL. Career and research Following her PhD, Orengo worked in industry as Chief Chemist for FCI International, Brussels and mathematical modeller for Humphreys & Glasgow in London. In 1987 she was appointed a postdo ...
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CATH Database
The CATH Protein Structure Classification database is a free, publicly available online resource that provides information on the evolutionary relationships of protein domains. It was created in the mid-1990s by Professor Christine Orengo and colleagues including Janet Thornton and David Tudor Jones, David Jones, and continues to be developed by the Orengo group at University College London. CATH shares many broad features with the Structural Classification of Proteins, SCOP resource, however there are also many areas in which the detailed classification differs greatly. Hierarchical organization Experimentally-determined protein three-dimensional structures are obtained from the Protein Data Bank and split into their consecutive polypeptide chains, where applicable. Protein domains are identified within these chains using a mixture of automatic methods and manual curation. The domains are then classified within the CATH structural hierarchy: at the Class (C) level, domains are as ...
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Rosetta@home
Rosetta@home is a volunteer computing project researching protein structure prediction on the Berkeley Open Infrastructure for Network Computing (BOINC) platform, run by the Baker laboratory at the University of Washington. Rosetta@home aims to predict protein–protein docking and design new proteins with the help of about fifty-five thousand active volunteered computers processing at over 487,946 GigaFLOPS on average as of September 19, 2020. Foldit, a Rosetta@home videogame, aims to reach these goals with a crowdsourcing approach. Though much of the project is oriented toward basic research to improve the accuracy and robustness of proteomics methods, Rosetta@home also does applied research on malaria, Alzheimer's disease, and other pathologies. Like all BOINC projects, Rosetta@home uses idle computer processing resources from volunteers' computers to perform calculations on individual workunits. Completed results are sent to a central project server where they are validate ...
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Chemoinformatics
Cheminformatics (also known as chemoinformatics) refers to use of physical chemistry theory with computer and information science techniques—so called "''in silico''" techniques—in application to a range of descriptive and prescriptive problems in the field of chemistry, including in its applications to biology and related molecular fields. Such '' in silico'' techniques are used, for example, by pharmaceutical companies and in academic settings to aid and inform the process of drug discovery, for instance in the design of well-defined combinatorial libraries of synthetic compounds, or to assist in structure-based drug design. The methods can also be used in chemical and allied industries, and such fields as environmental science and pharmacology, where chemical processes are involved or studied. History Cheminformatics has been an active field in various guises since the 1970s and earlier, with activity in academic departments and commercial pharmaceutical research a ...
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Corporate Spin-off
A corporate spin-off, also known as a spin-out, or starburst or hive-off, is a type of corporate action where a company "splits off" a section as a separate business or creates a second incarnation, even if the first is still active. Characteristics Spin-offs are divisions of companies or organizations that then become independent businesses with assets, employees, intellectual property, technology, or existing products that are taken from the parent company. Shareholders of the parent company receive equivalent shares in the new company in order to compensate for the loss of equity in the original stocks. However, shareholders may then buy and sell stocks from either company independently; this potentially makes investment in the companies more attractive, as potential share purchasers can invest narrowly in the portion of the business they think will have the most growth. In contrast, divestment can also sever one business from another, but the assets are sold off rather t ...
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GlaxoSmithKline
GSK plc, formerly GlaxoSmithKline plc, is a British multinational pharmaceutical and biotechnology company with global headquarters in London, England. Established in 2000 by a merger of Glaxo Wellcome and SmithKline Beecham. GSK is the tenth largest pharmaceutical company and #294 on the 2022 ''Fortune'' Global 500, ranked behind other pharmaceutical companies China Resources, Sinopharm, Johnson & Johnson, Pfizer, Roche, AbbVie, Novartis, Bayer, and Merck. The company has a primary listing on the London Stock Exchange and is a constituent of the FTSE 100 Index. , it had a market capitalisation of £70 billion, the eighth largest on the London Stock Exchange. It has a secondary listing on the New York Stock Exchange. The company developed the first malaria vaccine, RTS,S, which it said in 2014 it would make available for five percent above cost. Legacy products developed at GSK include several listed in the World Health Organization's List of Essential Medicines, such ...
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Machine Learning Applications In Bioinformatics
Machine learning in bioinformatics is the application of machine learning algorithms to bioinformatics, including genomics, proteomics, microarrays, systems biology, evolution, and text mining. Prior to the emergence of machine learning, bioinformatics algorithms had to be programmed by hand; for problems such as protein structure prediction, this proved difficult. Machine learning techniques, such as deep learning can learn features of data sets, instead of requiring the programmer to define them individually. The algorithm can further learn how to combine low-level features into more abstract features, and so on. This multi-layered approach allows such systems to make sophisticated predictions when appropriately trained. These methods contrast with other computational biology approaches which, while exploiting existing datasets, do not allow the data to be interpreted and analyzed in unanticipated ways. In recent years, the size and number of available biological datasets have sk ...
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Machine Learning
Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, agriculture, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.Hu, J.; Niu, H.; Carrasco, J.; Lennox, B.; Arvin, F.,Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning IEEE Transactions on Vehicular Technology, 2020. A subset of machine learning is closely related to computational statistics, which focuses on making predicti ...
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