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Numerical Methods that Solve the PBE for Biomolecular Electrostatics

Award Information

Agency:
Department of Health and Human Services
Branch:
N/A
Award ID:
85678
Program Year/Program:
2007 / SBIR
Agency Tracking Number:
GM079056
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Continuum Dynamics, Inc.
34 Lexington Avenue Ewing, NJ 08618-2302
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2007
Title: Numerical Methods that Solve the PBE for Biomolecular Electrostatics
Agency: HHS
Contract: 1R43GM079056-01
Award Amount: $99,766.00
 

Abstract:

DESCRIPTION (provided by applicant): By combining several innovative numerical methods, solutions to the modified Poisson-Boltzmann equation (mPBE) will be computed an order of magnitude faster than currently possible. The effort builds upon a previously d eveloped efficient Poisson-Boltzmann solver and extends it to tackle the computationally more demanding mPBE. In Phase I, a preliminary version of the mPBE solver will be developed and tested for biomolecular configurations where the Poisson-Boltzmann equa tion is known to break down, such as highly charged biomolecules in multivalent salt environments. In Phase II, this model will be further refined, incorporated into an electrostatics modeling software package and used to study biologically significant sys tems requiring the mPBE-based level of physics modeling. Distribution of this software will allow researchers and biotech business to simulate highly charged biomolecules upon readily available computers. Specific Aims. The Phase I specific aims are as fol lows. (1) Select the appropriate mPBE theory that both captures the important physical behavior of highly charged biomolecules (e.g., volume exclusion, finite ion size, image effects at the molecular surface) and achieves fast computational performance usi ng advanced numerical methods, and formulate numerical solution strategies. (2) Implement the approach in Aim (1) and conduct preliminary testing of the resulting software. (3) Conduct preliminary studies using the fast mPBE solver to assess the salt-depen dent behavior of complex-shape biopolymers in multivalent salt solutions. Research Design. The Phase I research plan addresses the high-risk elements of the overall Phase I and II endeavor by demonstrating efficient mPBE calculations for generally-shaped b iomolecules using carefully tailored computational methods. Thus, Phase I is concerned with the formulation, software implementation and testing of the mPBE solver. Methods. Components from existing software will be reconfigured for mPBE-based calculations . The main component is an adaptive Cartesian grid, which combines a hierarchical, octree decomposition of the domain and a singularity-free representation of the potential solution to minimize grid point count and thus computational cost. A new, self-cons istent outer boundary treatment is also used to reduce domain size. Various mesh and multigrid options will be explored to expedite evaluation of the fluctuation potentials. Long Term Objectives. The computational methods will be incorporated into a softwa re package offering a suite of electrostatics models with diverse computational performance and modeling fidelity options. The software will be distributed through an established molecular modeling vendor. Interfaces with existing MD codes and visualizatio n software will also allow alternate distribution paths. Health Relatedness and relevance to Mission of the NIGMS Institute. This effort addresses the growing need for fast and accurate computer simulation of biologically important processes. PHS 398/2590 (Rev. 09/04) Page 1 Abstract Format Page Principal Investigator/Program Director (Last, First, Middle): Boshitsch, Alexander, H Project Narrative Relevance to public health Computational simulation of biomolecules from first principles are revolutionizing man's ability to understand biomolecular behavior and its relation to biological function, and creating powerful tools for drug design and medicine research. Using innovative numerical methods, the proposed work will provide enhanced electrostatics modelin g tools filling a significant gap in current capabilities between the fast, but limited, Poisson-Boltzmann codes at one end, and the physics-accurate, but extremely expensive Monte Carlo and molecular dynamics methods at the other. PHS 398/2590 (Rev. 09/04 ) Page 1 Narrative Format Page

Principal Investigator:

Alexander H. Boschitsch
6095380444
ALEX@CONTINUUM-DYNAMICS.COM

Business Contact:

Barbara Agans
Small Business Information at Submission:

CONTINUUM DYNAMICS, INC.
CONTINUUM DYNAMICS, INC. 34 LEXINGTON AVE EWING, NJ 08543

EIN/Tax ID: 222248930
DUNS: N/A
Number of Employees: N/A
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No