Abstract
The capabilities of current computer simulations provide a unique opportunity to model small-angle scattering (SAS) data at the atomistic level, and to include other structural constraints ranging from molecular and atomistic energetics to crystallography, electron microscopy and NMR. This extends the capabilities of solution scattering and provides deeper insights into the physics and chemistry of the systems studied. Realizing this potential, however, requires integrating the experimental data with a new generation of modelling software. To achieve this, the CCP-SAS collaboration (http://www.ccpsas.org/) is developing opensource, high-throughput and user-friendly software for the atomistic and coarsegrained molecular modelling of scattering data. Robust state-of-the-art molecular simulation engines and molecular dynamics and Monte Carlo force fields provide constraints to the solution structure inferred from the small-angle scattering data, which incorporates the known physical chemistry of the system. The implementation of this software suite involves a tiered approach in which GenApp provides the deployment infrastructure for running applications on both standard and high-performance computing hardware, and SASSIE provides a workflow framework into which modules can be plugged to prepare structures, carry out simulations, calculate theoretical scattering data and compare results with experimental data. GenApp produces the accessible webbased front end termed SASSIE-web, and GenApp and SASSIE also make community SAS codes available. Applications are illustrated by case studies: (i) inter-domain flexibility in two- to six-domain proteins as exemplified by HIV-1 Gag, MASP and ubiquitin; (ii) the hinge conformation in human IgG2 and IgA1 antibodies; (iii) the complex formed between a hexameric protein Hfq and mRNA; and (iv) synthetic 'bottlebrush' polymers.
| Original language | English |
|---|---|
| Pages (from-to) | 1861-1875 |
| Number of pages | 15 |
| Journal | Journal of Applied Crystallography |
| Volume | 49 |
| Issue number | 6 |
| DOIs | |
| State | Published - Dec 1 2016 |
Funding
The authors are supported by the CCP-SAS project, a joint EPSRC (EP/K039121/1) and NSF (CHE-1265821) grant. SJP is supported by the MRC (MR/K011715/1). EHB is supported by NSF (CHE-1265817) and NIH (GM090154). JC is supported by NSF (CHE 1265850). We are most thankful to the many colleagues from the scattering community who have provided bug reports and feedback on SASSIE to date. Certain commercial equipment, instruments, materials, suppliers or software are identified in this paper to foster understanding. Such identification does not imply recommendation or endorsement by the National Institute of Standards and Technology, nor does it imply that the materials or equipment identified are necessarily the best available for the purpose.
| Funders | Funder number |
|---|---|
| CHE-1265821 | |
| GM090154, CHE 1265850 | |
| 1265821, 1265850, 1265817 | |
| National Institute of Standards and Technology | |
| Medical Research Council | MR/K011715/1, CHE-1265817 |
| Engineering and Physical Sciences Research Council | EP/K039121/1 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- molecular dynamics (MD)
- molecular modelling
- scattering curve fits
- small-angle-neutron scattering (SANS)
- smallangle-X-ray scattering (SAXS)
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