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8 projects in result set.
Statistical analysis of conformational ensembles
- This project provides computational tools and methods to analyze conformational ensembles of biomolecules, as well as their assemblies, such as those obtained from molecular simulations.
(A) PROTEINS: The molecular understanding of the functional regulation of proteins requires assessment of various states, including active and inactive states, as well as their interdependencies. For several proteins, their various states can be distinguished from each other on the basis of their minimum energy 3D structures. For many other proteins, like GPCRs, PDZ domains, nuclear transcription factors, heat shock proteins, T-cell receptors and viral attachment proteins, their states can be distinguished categorically from each other only when their finite-temperature conformational ensembles are considered alongside their minimum-energy structures. We are developing tools/methods for:
(A1) Direct comparison of conformational ensembles - The traditional approach to compare two or more conformational ensembles is to compare their respective summary statistics. This approach is, however, prone to artifactual bias, as data is compared after dimensionality reduction. The proper way to compare ensembles is to compare them directly with each other and prior to any dimensionality reduction. g_ensemble_comp is a tool we have developed that does just that and reports the difference between ensembles in terms of a true metric defined by the zeroth law of thermodynamics.
(A2) Prediction of allosteric signaling networks - method under development.
(B) LIPID MEMBRANES: The surface area of a lipid bilayer is related fundamentally to many other observables, such as thermal phase transitions and domain formation in mixed lipid bilayers. We have developed g_tessellate_area to compute the 3D surface area of a bilayer using Delunay tessellation. | |
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Activity Percentile: 93.51 Registered: 2015-09-15 17:52 |
Simbody: Multibody Physics API
- This project is a SimTK toolset providing general multibody dynamics capability, that is, the ability to solve Newton's 2nd law F=ma in any set of generalized coordinates subject to arbitrary constraints. (That's Isaac himself in the oval.) Simbody is provided as an open source, object-oriented C++ API and delivers high-performance, accuracy-controlled science/engineering-quality results.
Simbody uses an advanced Featherstone-style formulation of rigid body mechanics to provide results in Order(<em>n</em>) time for any set of <em>n</em> generalized coordinates. This can be used for internal coordinate modeling of molecules, or for coarse-grained models based on larger chunks. It is also useful for large-scale mechanical models, such as neuromuscular models of human gait, robotics, avatars, and animation. Simbody can also be used in real time interactive applications for biosimulation as well as for virtual worlds and games.
This toolset was developed originally by Michael Sherman at the Simbios Center at Stanford, with major contributions from Peter Eastman and others. Simbody descends directly from the public domain NIH Internal Variable Dynamics Module (IVM) facility for molecular dynamics developed and kindly provided by Charles Schwieters. IVM is in turn based on the spatial operator algebra of Rodriguez and Jain from NASA's Jet Propulsion Laboratory (JPL), and Simbody has adopted that formulation.
<b>SOURCE CODE:</b> Simbody is distributed in source form. The source code is maintained at <a href="https://www.github.com/simbody">GitHub</a>. You can get a zip of the latest stable release <a href="https://github.com/simbody/simbody/releases">here</a>, then build it on your Windows, Mac OSX, or Linux machine (you will need CMake and a compiler).
You can also clone the git repository and build the latest development version <a href="https://github.com/simbody/simbody">here</a>; the repository URL is https://github.com/simbody/simbody.git. If you would like to contribute bug fixes, new code, documentation, examples, etc. to Simbody (and we hope you will!), please fork the repository on GitHub and send pull requests.
If you are new to git, you may want to start with GitHub's <a href="https://help.github.com/categories/54/articles">Bootcamp tutorial</a>. | |
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Registered: 2005-07-26 19:52 |
Contact Modeling with OpenSim: a User’s Approach
- This project presents step-by-step tutorials on how to integrate contact elements within a OpenSim model. Contact modeling is performed by editing two *.osim files. The first tutorial covers the classic model of a bouncing sphere on an even plane (two cases will be considered: pure elastic contact; and dissipative contact). The second tutorial considers multiple contact interactions between a sphere, an ellipsoid and a plane. Contact forces are described with the Hunt & Crossley and the Elastic Foundation models. No friction forces are applied. The main motivation of this project is to provide easy to follow tutorials for contact modeling in OpenSim, therefore, complementing the current documentation on this topic. Musculoskeletal modelers or computational researchers that wish to incorporate surface contact elements within a multibody model will find this project of their interest.
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Activity Percentile: 41.60 Registered: 2012-03-09 19:31 |
SimTK Core Toolset (obsolete project)
- Prior to June, 2011 this project was used to distribute the Simbios-developed Simbody and Molmodel packages in the SimTK biosimulation toolkit. These are now distributed separately from the Simbody and Molmodel projects (https://simtk.org/home/simbody, https://simtk.org/home/molmodel). Please use those projects instead of this one.
The other major component of SimTK is the GPU-accelerated molecular dynamics package OpenMM, see https://simtk.org/home/openmm if you are interested.
<b>The text below refers to the pre-June, 2011 packaging and has been superseded as described above.</b>
<b><i>SimTK Core subprojects</i></b> This SimTK Core project collects together all the binaries needed for the various SimTK Core subprojects. These include Simbody, Molmodel, Simmath (including Ipopt), Simmatrix, CPodes, SimTKcommon, and Lapack. See the individual projects for descriptions.
<b><i>SimTK overview</i></b>
SimTK brings together in a robust, convenient, open source form the collection of highly-specialized technologies necessary to building successful physics-based simulations of biological structures. These include: strict adherence to an important set of abstractions and guiding principles, robust, high-performance numerical methods, support for developing and sharing physics-based models, and careful software engineering.
<b><i>Accessible High Performance Computing</i></b><br/>
We believe that a primary concern of simulation scientists is performance, that is, speed of computation. We seek to build valid, approximate models using classical physics in order to achieve reasonable run times for our computational studies, so that we can hope to learn something interesting before retirement. In the choice of SimTK technologies, we are focused on achieving the best possible performance on hardware that most researchers actually have. In today's practice, that means commodity multiprocessors and small clusters.
The difference in performance between the best methods and the do-it-yourself techniques most people use can be astounding—easily an order of magnitude or more. The growing set of SimTK Core libraries seeks to provide the best implementation of the best-known methods for widely used computations such as:
Linear algebra, numerical integration and Monte Carlo sampling, multibody (internal coordinate) dynamics, molecular force field evaluation, nonlinear root finding and optimization. All SimTK Core software is in the form of C++ APIs, is thread-safe, and quietly exploits multiple CPUs when they are present.
The resulting pre-built binaries are available for download and immediate use.
<b><i>Citation:</i></b> Any work that uses SimTK Core (including Simbody) should cite the following paper: Jeanette P. Schmidt, Scott L. Delp, Michael A. Sherman, Charles A. Taylor,Vijay S. Pande, Russ B. Altman, "The Simbios National Center: SystemsBiology in Motion", Proceedings of the IEEE, special issue on Computational System Biology. Volume 96, Issue 8:1266 - 1280. (2008) | |
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Registered: 2006-04-04 20:03 |
PySimTK: SimTK core multibody dynamics tool kit in python
- This project creates an easier to use python API for the SimTK core multibody mechanics simulation tool kit. | |
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Registered: 2009-07-29 17:59 |
NIH monthly Tcons
- Regularly scheduled Tcon, focused on RNA DBP for March 19th | |
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Activity Percentile: 0.00 Registered: 2010-03-19 16:17 |
Lead Optimization Mapper (LOMAP)
- This provides tools relating to mapping pharmaceutical lead optimization campaigns. The initial implementation is focused on planning free energy calculations to span a library of inhibitors by computing relative free energies between related inhibitors, but the scope of the mapper will likely expand with time. This toolkit:
- is written in Python
- turns the problem of planning relative free energy calculations within a library into a graph theory problem
- outputs a map of planned calculations
This is written for computational scientists working in the pharmaceutical industry generally, including academia, industry, and elsewhere, who need tools to help plan lead optimization campaigns.
The code is being released under the BSD license and hopefully will be a community effort.
Please contact David Mobley and Shuai Liu if you need any help getting this to work or any clarification on installing, etc.
If you use this, please cite our paper in JCAMD: http://link.springer.com/article/10.1007%2Fs10822-013-9678-y | |
Registered: 2012-06-11 16:22 |
Open MM and Zephyr applications to XBOX360 platform.
- This project is intended to use the OpenMM and Zephyr source code for compilation upon the XBOX 360 platforms. An executable with the functionality of Zephyr is desired. | |
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Activity Percentile: 0.00 Registered: 2009-12-25 17:02 |