Molecular Simulation Grid Research Articles

Using Science Gateways for Bridging the Differences between Research Infrastructures

Researchers can perform large-scale analyses on diverse computing and data infrastructures such as NGIs (National Grid Infrastructures), XSEDE (Extreme Science and Engineering Discovery Environment) and PRACE (Partnership for Advanced Computing in Europe). Some are national like NGIs and XSEDE, some are international like PRACE and all of them require a more or less restrictive application process to get access to resources. Science gateways integrating diverse infrastructures provide the possibility to re-use methods independent of such underlying infrastructures and thus potentially deliver the technical prerequisite for creating reproducible science. To achieve this goal, science gateways have to be integrated seamlessly with security mechanisms and job, data as well as workflow management of the targeted resources. This paper gives an overview on general findings for porting science gateways as well as the challenges faced for porting the German MoSGrid science gateway (Molecular Simulation Grid) to exploit XSEDE and PRACE infrastructures.

Metadata Management in the MoSGrid Science Gateway - Evaluation and the Expansion of Quantum Chemistry Support

Science gateways are employed to hide increasingly complex IT infrastructures from users via easy-to-use graphical interfaces while enabling IT-driven research not possible before. The science gateway MoSGrid (Molecular Simulation Grid) is a valuable and user-friendly workbench to submit and process molecular simulation studies on a large scale. With regard to the needs of the users, we focus on the interoperability of simulations using two prominent quantum chemical codes, Gaussian09 and NWChem. At a first glimpse, the definition of functionals and basis sets seems to be sufficient to evoke the same type of calculation in both codes using the quantum chemical workflows in MoSGrid. In more detail, this is not true and more aspects such as integration grids, convergence criteria and basis set dimensions have to be well defined in order to obtain a trustworthy comparability between quantum chemical codes. In previous work, these details have not been defined and included in the MSML (Molecular Simulation Markup Language) implementation within MoSGrid. After the investigation presented here, all these details can be integrated to extend the quantum chemical workflows in MoSGrid. Furthermore, a performance evaluation of the underlying metadata management is performed to investigate its suitability and scalability to the MSML extension.

Quantum chemical meta‐workflows in MoSGrid

SummaryQuantum chemical workflows can be built up within the science gateway Molecular Simulation Grid. Complex workflows required by the end users are dissected into smaller workflows that can be combined freely to larger meta‐workflows. General quantum chemical workflows are described here as well as the real use case of a spectroscopic analysis resulting in an end‐user desired meta‐workflow. All workflow features are implemented via Web Services Parallel Grid Runtime and Developer Environment and submitted to UNICORE. The workflows are stored in the Molecular Simulation Grid repository and ported to the SHIWA repository. Copyright © 2014 John Wiley & Sons, Ltd.

Performance studies on distributed virtual screening.

Virtual high-throughput screening (vHTS) is an invaluable method in modern drug discovery. It permits screening large datasets or databases of chemical structures for those structures binding possibly to a drug target. Virtual screening is typically performed by docking code, which often runs sequentially. Processing of huge vHTS datasets can be parallelized by chunking the data because individual docking runs are independent of each other. The goal of this work is to find an optimal splitting maximizing the speedup while considering overhead and available cores on Distributed Computing Infrastructures (DCIs). We have conducted thorough performance studies accounting not only for the runtime of the docking itself, but also for structure preparation. Performance studies were conducted via the workflow-enabled science gateway MoSGrid (Molecular Simulation Grid). As input we used benchmark datasets for protein kinases. Our performance studies show that docking workflows can be made to scale almost linearly up to 500 concurrent processes distributed even over large DCIs, thus accelerating vHTS campaigns significantly.

High-Performance Computing and Big Data in Omics-Based Medicine

High-Performance Computing and Big Data in Omics-Based Medicine

Standards‐based metadata management for molecular simulations

SUMMARYState‐of‐the‐art research in a variety of natural sciences depends heavily on methods of computational chemistry, for example, the calculation of the properties of materials, proteins, catalysts, and drugs. Applications providing such methods require a lot of expertise to handle their complexity and the usage of high‐performance computing. The MoSGrid (molecular simulation grid) infrastructure relieves this burden from scientists by providing a science gateway, which eases access to and usage of computational chemistry applications. One of its cornerstones is the molecular simulations markup language (MSML), an extension of the chemical markup language. MSML abstracts all chemical as well as computational aspects of simulations. An application and its results can be described with common semantics. Using such application, independent descriptions users can easily switch between different applications or compare them. This paper introduces MSML, its integration into a science gateway, and its usage for molecular dynamics, quantum chemistry, and protein docking. Copyright © 2013 John Wiley & Sons, Ltd.

A Single Sign-On Infrastructure for Science Gateways on a Use Case for Structural Bioinformatics

Structural bioinformatics applies computational methods to analyze and model three-dimensional molecular structures. There is a huge number of applications available to work with structural data on large scale. Using these tools on distributed computing infrastructures (DCIs), however, is often complicated due to a lack of suitable interfaces. The MoSGrid (Molecular Simulation Grid) science gateway provides an intuitive user interface to several widely-used applications for structural bioinformatics, molecular modeling, and quantum chemistry. It ensures the confidentiality, integrity, and availability of data via a granular security concept, which covers all layers of the infrastructure. The security concept applies SAML (Security Assertion Markup Language) and allows trust delegation from the user interface layer across the high-level middleware layer and the Grid middleware layer down to the HPC facilities. SAML assertions had to be integrated into the MoSGrid infrastructure in several places: the workflow-enabled Grid portal WS-PGRADE (Web Services Parallel Grid Runtime and Developer Environment), the gUSE (Grid User Support Environment) DCI services, and the cloud file system XtreemFS. The presented security infrastructure allows a single sign-on process to all involved DCI components and, therefore, lowers the hurdle for users to utilize large HPC infrastructures for structural bioinformatics.

MoSGrid: efficient data management and a standardized data exchange format for molecular simulations in a grid environment

The MoSGrid (Molecular Simulation Grid) project is currently establishing a platform that aims to be used by both experienced and inexperienced researchers to submit molecular simulation calculations, monitor their progress, and retrieve the results. It provides a web-based portal to easily set up, run, and evaluate molecular simulations carried out on D-Grid resources. The range of applications available encompasses quantum chemistry, molecular dynamics, and protein-ligand docking codes. In addition, data repositories were developed, which contain the results of calculations as well as “recipes” or workflows. These can be used, improved, and distributed by the users. A distributed high-throughput file system allows efficient access to large amounts of data in the repositories. For storing both the input and output of the calculations, we have developed MSML (Molecular Simulation Markup Language), a CML derivative (Chemical Markup Language). MSML has been designed to store structural information on small as well as large molecules and results from various molecular simulation tools and docking tools. It ensures interoperability of different tools through a consistent data representation. At http://www.mosgrid.de the new platform is already available to the scientific community in a beta test phase. Currently, portlets for generic workflows, Gaussian, and Gromacs applications are publicly accessible [1,2].

Workflow-enhanced conformational analysis of guanidine zinc complexes via a science gateway.

The new science gateway MoSGrid (Molecular Simulation Grid) enables users to submit and process molecular simulation studies on a large scale. A conformational analysis of guanidine zinc complexes, which are active catalysts in the ring-opening polymerization of lactide, is presented as an example. Such a large-scale quantum chemical study is enabled by workflow technologies. Two times 40 conformers have been generated, for two guanidine zinc complexes. Their structures were optimized using Gaussian03 and the energies processed within the quantum chemistry portlet of the MoSGrid portal. All meta- and post-processing steps have been performed in this portlet. All workflow features are implemented via WS-PGRADE and submitted to UNICORE.

MoSGrid – a molecular simulation grid as a new tool in computational chemistry, biology and material science

The MoSGrid (Molecular Simulation Grid, http://www. mosgrid.de) project aims to provide remote computational chemistry services within the German Grid Initiative (D-Grid). Submission and monitoring of compute jobs, as well as the retrieval of postprocessed results are realized through a web based portal. The use of standardized portlets and a generally modular approach allows for the simultaneous and independent implementation of frontends for different molecular simulation codes. To date, functional prototypes of portlets for applications from the quantum chemical and the molecular dynamics domain are available, being represented by Gaussian and Gromacs, respectively. The implementation of other quantum chemical codes, as requested by the community, and of codes for docking simulations is in preparation. MoSGrid will furthermore foster efficient and collaborative work by providing secure but shareable repositories for validated data, as well as for reusable recipes and workflows [1-3].

Molecular simulation grid

MoSGrid is the acronym for Molecular Simulation Grid, a BMBF funded joint research project with the aim to offer grid services for the broad field of molecular simulations in the D-Grid infrastructure. Besides tendering various codes ranging from quantum molecular calculations (e.g. Gaussian, Turbomole) via molecular dynamics (e.g. Gromacs) to docking approaches (e.g. FlexX) for high performance computing, one of the main goals is the integration of metadata annotation for data mining and knowledge generation. Molecular simulation codes and computational resources are accessed via the MoSGrid portal (http://www.mosgrid.de), which will offer intuitive access to various tools and will support the users with workflows, for an easy import of molecular data, a simple setup and submission of calculations as well as extraction of relevant results. The portal will hide the complexity of the underlying technology by providing a unified user interface making computational chemistry in general more readily available. MoSGrid’s server-based portal is available as open-access and open-source software. Users are relieved from software installations and do not need to have knowledge about the underlying infrastructure. The portal includes portlets specifically set up for the various simulation programs. Commonly used workflows, simple or complex, can be stored in recipe repositories and are available for every user. Moreover, users can develop, improve, publish, and use workflows for their everyday tasks.