SBIR/STTR Research Award

Advanced Electrostatic Computation in Molecular Dynamics

Award identifier 1bb60eaf0c0321d5909f4518366acc58b0bc79e4264024caedc01392dc42fc54Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$99,822

Program and phase

SBIR · Phase I

Award year

2005

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
CONTINUUM DYNAMICS INC
Proposal award date
Not reported
Contract end date
Not reported
UEI
DUE3E75K1MJ3
Solicitation number
PHS2005-2
Topic code
Not reported

Research abstract

DESCRIPTION (provided by applicant): Advances in computational hardware and molecular modeling techniques have revolutionized our ability to simulate electrostatic interactions which play a fundamental role in the stability, structure, folding and function of bio-molecules. Currently, the continuum electrostatic description based upon the Poisson- Boltzmann Equation (PBE) offers the best combination of modeling fidelity and computational cost. While very large bio-molecular assemblies such as ribosomes, containing hundreds of thousands of atoms, have been successfully solved using PBE solvers, major difficulties are encountered when these solvers are incorporated into molecular dynamics (MD) and energy minimization (EM) codes. Impaired accuracy of predicted electrostatic field at molecular surfaces destabilizes MD simulations and hinders convergence in EM computations. The proposed effort will provide new computational tools to accurately and efficiently predict the required electrostatic properties near the molecular surface. Previous technology, notably a novel adaptive Cartesian grid structure that maximizes computational performance for large-scale bio-molecules, will be modified to achieve high accuracy at the surface. The resulting computational tool should prove invaluable to: (i) MD and EM calculations by efficiently providing high fidelity, PBE-quality electrostatic energy gradients and (ii) researchers interested in relating electrostatic surface properties (e.g., potential and induced charge) to bio-molecular function.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

271 SBIR/STTR records share this UEI (1983–2026). Reported award amounts total $78,620,383. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Energy, National Science Foundation, Department of Health and Human Services, Department of Agriculture

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.