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1703 Publications visible to you, out of a total of 1703
Hotspots in an Obligate Homodimeric Anticancer Target. Structural and Functional Effects of Interfacial Mutations in Human Thymidylate Synthase

Abstract

Not specified

Authors: Outi M. H. Salo-Ahen, Anna Tochowicz, Cecilia Pozzi, Daniela Cardinale, Stefania Ferrari, Yap Boum, Stefano Mangani, Robert M. Stroud, Puneet Saxena, Hannu Myllykallio, Maria Paola Costi, Glauco Ponterini, Rebecca C. Wade

Date Published: 13th Apr 2015

Publication Type: Journal

Determining spectroscopic redshifts by using k nearest neighbor regression. I. Description of method and analysis

Abstract

Not specified

Authors: S. D. Kügler, K. Polsterer, M. Hoecker

Date Published: 1st Apr 2015

Publication Type: Journal

New numerical solver for flows at various Mach numbers

Abstract

Not specified

Authors: F. Miczek, F. K. Röpke, P. V. F. Edelmann

Date Published: 1st Apr 2015

Publication Type: Journal

LigDig: a web server for querying ligand–protein interactions

Abstract

Not specified

Authors: Jonathan C. Fuller, Michael Martinez, Stefan Henrich, Antonia Stank, Stefan Richter, Rebecca C. Wade

Date Published: 1st Apr 2015

Publication Type: Journal

Modelling of solvation effects for brownian dynamics simulation of biomolecular recognition.

Abstract

Not specified

Authors: Neil J. Bruce, Daria B. Kokh, Musa Ozboyaci, Rebecca C. Wade

Date Published: 27th Mar 2015

Publication Type: InBook

Promoting coordinated development of community-based information standards for modeling in biology: the COMBINE initiative

Abstract (Expand)

The Computational Modeling in Biology Network (COMBINE) is a consortium of groups involved in the development of open community standards and formats used in computational modeling in biology. COMBINE’s … aim is to act as a coordinator, facilitator, and resource for different standardization efforts whose domains of use cover related areas of the computational biology space. In this perspective article, we summarize COMBINE, its general organization, and the community standards and other efforts involved in it. Our goals are to help guide readers toward standards that may be suitable for their research activities, as well as to direct interested readers to relevant communities where they can best expect to receive assistance in how to develop interoperable computational models.

Authors: Michael Hucka, David Phillip Nickerson, Gary Bader, Frank T Bergmann, Jonathan Cooper, Emek Demir, Alan Garny, Martin Golebiewski, Chris John Myers, Falk Schreiber, Dagmar Waltemath, Nicolas Le Novère

Date Published: 24th Feb 2015

Publication Type: Journal

A Quick Guide for Building a Successful Bioinformatics Community.

Abstract (Expand)

"Scientific community" refers to a group of people collaborating together on scientific-research-related activities who also share common goals, interests, and values. Such communities play … a key role in many bioinformatics activities. Communities may be linked to a specific location or institute, or involve people working at many different institutions and locations. Education and training is typically an important component of these communities, providing a valuable context in which to develop skills and expertise, while also strengthening links and relationships within the community. Scientific communities facilitate: (i) the exchange and development of ideas and expertise; (ii) career development; (iii) coordinated funding activities; (iv) interactions and engagement with professionals from other fields; and (v) other activities beneficial to individual participants, communities, and the scientific field as a whole. It is thus beneficial at many different levels to understand the general features of successful, high-impact bioinformatics communities; how individual participants can contribute to the success of these communities; and the role of education and training within these communities. We present here a quick guide to building and maintaining a successful, high-impact bioinformatics community, along with an overview of the general benefits of participating in such communities. This article grew out of contributions made by organizers, presenters, panelists, and other participants of the ISMB/ECCB 2013 workshop "The ’How To Guide’ for Establishing a Successful Bioinformatics Network" at the 21st Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) and the 12th European Conference on Computational Biology (ECCB).

Authors: Aidan Budd, Manuel Corpas, Michelle D. Brazas, Jonathan C. Fuller, Jeremy Goecks, Nicola J. Mulder, Magali Michaut, B. F. Francis Ouellette, Aleksandra Pawlik, Niklas Blomberg

Date Published: 5th Feb 2015

Publication Type: Journal

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