Search Results Heading

MBRLSearchResults

mbrl.module.common.modules.added.book.to.shelf
Title added to your shelf!
View what I already have on My Shelf.
Oops! Something went wrong.
Oops! Something went wrong.
While trying to add the title to your shelf something went wrong :( Kindly try again later!
Are you sure you want to remove the book from the shelf?
Oops! Something went wrong.
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
    Done
    Filters
    Reset
  • Discipline
      Discipline
      Clear All
      Discipline
  • Is Peer Reviewed
      Is Peer Reviewed
      Clear All
      Is Peer Reviewed
  • Item Type
      Item Type
      Clear All
      Item Type
  • Subject
      Subject
      Clear All
      Subject
  • Year
      Year
      Clear All
      From:
      -
      To:
  • More Filters
18 result(s) for "Senger, Chris"
Sort by:
Deceptive measures of progress in the NHS long-term plan for cancer: case-based vs. population-based measures
The NHS Long Term Plan for cancer aims to increase early-stage diagnoses from 50% to 75% and to have 55,000 more people each year survive their cancer for at least 5 years following diagnosis. The targets measures are flawed and could be met without improving outcomes that really matter to patients. The proportion of early-stage diagnoses could increase, while the number of patients presenting at a late-stage remains the same. More patients could survive their cancer for longer, but lead time and overdiagnosis bias make it impossible to know whether anyone had their life prolonged. The target measures should switch from biased case-based measures to unbiased population-based measures that reflect the key objectives in cancer care: reducing late-stage incidence and mortality.
Structural basis for bacterial energy extraction from atmospheric hydrogen
Diverse aerobic bacteria use atmospheric H 2 as an energy source for growth and survival 1 . This globally significant process regulates the composition of the atmosphere, enhances soil biodiversity and drives primary production in extreme environments 2 , 3 . Atmospheric H 2 oxidation is attributed to uncharacterized members of the [NiFe] hydrogenase superfamily 4 , 5 . However, it remains unresolved how these enzymes overcome the extraordinary catalytic challenge of oxidizing picomolar levels of H 2 amid ambient levels of the catalytic poison O 2 and how the derived electrons are transferred to the respiratory chain 1 . Here we determined the cryo-electron microscopy structure of the Mycobacterium smegmatis hydrogenase Huc and investigated its mechanism. Huc is a highly efficient oxygen-insensitive enzyme that couples oxidation of atmospheric H 2 to the hydrogenation of the respiratory electron carrier menaquinone. Huc uses narrow hydrophobic gas channels to selectively bind atmospheric H 2 at the expense of O 2 , and 3 [3Fe–4S] clusters modulate the properties of the enzyme so that atmospheric H 2 oxidation is energetically feasible. The Huc catalytic subunits form an octameric 833 kDa complex around a membrane-associated stalk, which transports and reduces menaquinone 94 Å from the membrane. These findings provide a mechanistic basis for the biogeochemically and ecologically important process of atmospheric H 2 oxidation, uncover a mode of energy coupling dependent on long-range quinone transport, and pave the way for the development of catalysts that oxidize H 2 in ambient air. Structural and biochemical studies of the Mycobacterium smegmatis hydrogenase Huc provides insights into how [NiFe] hydrogenases oxidize trace amounts of atmospheric hydrogen and transfer the electrons liberated via quinone transport.
BRADSHAW: a system for automated molecular design
This paper introduces BRADSHAW (Biological Response Analysis and Design System using an Heterogenous, Automated Workflow), a system for automated molecular design which integrates methods for chemical structure generation, experimental design, active learning and cheminformatics tools. The simple user interface is designed to facilitate access to large scale automated design whilst minimising software development required to introduce new algorithms, a critical requirement in what is a very fast moving field. The system embodies a philosophy of automation, best practice, experimental design and the use of both traditional cheminformatics and modern machine learning algorithms.
The Application of the Open Pharmacological Concepts Triple Store (Open PHACTS) to Support Drug Discovery Research
Integration of open access, curated, high-quality information from multiple disciplines in the Life and Biomedical Sciences provides a holistic understanding of the domain. Additionally, the effective linking of diverse data sources can unearth hidden relationships and guide potential research strategies. However, given the lack of consistency between descriptors and identifiers used in different resources and the absence of a simple mechanism to link them, gathering and combining relevant, comprehensive information from diverse databases remains a challenge. The Open Pharmacological Concepts Triple Store (Open PHACTS) is an Innovative Medicines Initiative project that uses semantic web technology approaches to enable scientists to easily access and process data from multiple sources to solve real-world drug discovery problems. The project draws together sources of publicly-available pharmacological, physicochemical and biomolecular data, represents it in a stable infrastructure and provides well-defined information exploration and retrieval methods. Here, we highlight the utility of this platform in conjunction with workflow tools to solve pharmacological research questions that require interoperability between target, compound, and pathway data. Use cases presented herein cover 1) the comprehensive identification of chemical matter for a dopamine receptor drug discovery program 2) the identification of compounds active against all targets in the Epidermal growth factor receptor (ErbB) signaling pathway that have a relevance to disease and 3) the evaluation of established targets in the Vitamin D metabolism pathway to aid novel Vitamin D analogue design. The example workflows presented illustrate how the Open PHACTS Discovery Platform can be used to exploit existing knowledge and generate new hypotheses in the process of drug discovery.
Correction to: BRADSHAW: a system for automated molecular design
The original version of this article unfortunately contained some mistakes in the references.
Explicit interaction information from WikiPathways in RDF facilitates drug discovery in the Open PHACTS Discovery Platform version 2; peer review: 2 approved
Open PHACTS is a pre-competitive project to answer scientific questions developed recently by the pharmaceutical industry. Having high quality biological interaction information in the Open PHACTS Discovery Platform is needed to answer multiple pathway related questions. To address this, updated WikiPathways data has been added to the platform. This data includes information about biological interactions, such as stimulation and inhibition. The platform's Application Programming Interface (API) was extended with appropriate calls to reference these interactions.  These new methods of the Open PHACTS API are available now.
The Application of the Open Pharmacological Concepts Triple Store
Integration of open access, curated, high-quality information from multiple disciplines in the Life and Biomedical Sciences provides a holistic understanding of the domain. Additionally, the effective linking of diverse data sources can unearth hidden relationships and guide potential research strategies. However, given the lack of consistency between descriptors and identifiers used in different resources and the absence of a simple mechanism to link them, gathering and combining relevant, comprehensive information from diverse databases remains a challenge. The Open Pharmacological Concepts Triple Store (Open PHACTS) is an Innovative Medicines Initiative project that uses semantic web technology approaches to enable scientists to easily access and process data from multiple sources to solve real-world drug discovery problems. The project draws together sources of publicly-available pharmacological, physicochemical and biomolecular data, represents it in a stable infrastructure and provides well-defined information exploration and retrieval methods. Here, we highlight the utility of this platform in conjunction with workflow tools to solve pharmacological research questions that require interoperability between target, compound, and pathway data. Use cases presented herein cover 1) the comprehensive identification of chemical matter for a dopamine receptor drug discovery program 2) the identification of compounds active against all targets in the Epidermal growth factor receptor (ErbB) signaling pathway that have a relevance to disease and 3) the evaluation of established targets in the Vitamin D metabolism pathway to aid novel Vitamin D analogue design. The example workflows presented illustrate how the Open PHACTS Discovery Platform can be used to exploit existing knowledge and generate new hypotheses in the process of drug discovery.
Explicit interaction information from WikiPathways in RDF facilitates drug discovery in the Open PHACTS Discovery Platform
Open PHACTS is a pre-competitive project to answer scientific questions developed recently by the pharmaceutical industry. Having high quality biological interaction information in the Open PHACTS Discovery Platform is needed to answer multiple pathway related questions. To address this, updated WikiPathways data has been added to the platform. This data includes information about biological interactions, such as stimulation and inhibition. The platform's Application Programming Interface (API) was extended with appropriate calls to reference these interactions. These new methods of the Open PHACTS API are available now.
Energy extraction from air: structural basis of atmospheric hydrogen oxidation
Diverse aerobic bacteria use atmospheric H2 as an energy source for growth and survival. This recently discovered yet globally significant process regulates the composition of the atmosphere, enhances soil biodiversity, and drives primary production in certain extreme environments. Atmospheric H2 oxidation has been attributed to still uncharacterised members of the [NiFe]-hydrogenase superfamily. However, it is unresolved how these enzymes overcome the extraordinary catalytic challenge of selectively oxidizing picomolar levels of H2 amid ambient levels of the catalytic poison O2, and how the derived electrons are transferred to the respiratory chain. Here we determined the 1.52 angstroms resolution CryoEM structure of the mycobacterial hydrogenase Huc and investigated its mechanism by integrating kinetics, electrochemistry, spectroscopy, mass spectrometry, and molecular dynamics simulations. Purified Huc is an oxygen-insensitive enzyme that couples the oxidation of atmospheric H2 at its large subunit to the hydrogenation of the respiratory electron carrier menaquinone at its small subunit. The enzyme uses a narrow hydrophobic gas channel to selectively bind atmospheric H2 at the expense of O2, while three [3Fe-4S] clusters and their unusual ligation by a D-histidine modulate the electrochemical properties of the enzyme such that atmospheric H2 oxidation is energetically feasible. Huc forms an 833 kDa complex composed of an octamer of catalytic subunits around a membrane-associated central stalk, which extracts and transports menaquinone a remarkable 94 angstroms from the membrane, enabling its reduction. These findings provide a mechanistic basis for the biogeochemically and ecologically critical process of atmospheric H2 oxidation. Through the first characterisation of a group 2 [NiFe]-hydrogenase, we also uncover a novel mode of energy coupling dependent on long-range quinone transport and pave way for the development of biocatalysts that oxidize H2 in ambient air. Competing Interest Statement The authors have declared no competing interest.