SBIR/STTR Research Award

Accurate and efficient density functional theory calculations of intermolecular interactions and conformational energies

Award identifier c558df74fb7587b9e60f5f3051a8333d36caed185ba5ccd2491f876ccc5867d8Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$141,869

Program and phase

SBIR · Phase I

Award year

2017

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
Q-CHEM INC
Proposal award date
2017-09-19
Contract end date
2018-07-31
UEI
MXPESVR9KFE7
Solicitation number
PA16-302
Topic code
100

Research abstract

Project summary Key biophysical properties such as drug binding sites and enzyme catalysis arise can be computer modeled using quantum mechanics but limitations in the accuracy of practical quantum methods have held back progress Over the past five years this situation has changed with exciting and ongoing improvements in the accuracy of density functional theory DFT New and better density functionals open new opportunities for applications in conformational searching molecular recognition ligand binding and all the areas where ab initio calculations are employed in biophysical chemistry However these functionals require very large and computationally demanding basis sets to attain their high accuracy Use of smaller basis sets leads to unconverged results with often unacceptable errors There is an unmet need to significantly reduce the computational cost of achieving large basis set accuracy The central innovation of this proposal is to use minimal adaptive basis functions MAB for this purpose in place of traditional large basis sets The MAB is a small minimal set of functions adaptively formed from a traditional large basis via an atom blocked sparse transformation The DFT calculation is performed in the adaptive basis followed by a dual basis correction This potentially permits very large computational speedups while yielding accuracy virtually indistinguishable from a computationally costly calculation performed conventionally in the large target basis The Phase I research has three principal objectives First the research will establish the accuracy of the MAB protocol for a range of biophysically relevant energy differences Second the research will lead to a carefully justified estimate of the speed up that is attainable with the MAB approach and will produce a new software implementation of several of the algorithmic steps that must be optimized Third modifications and improvements of the MAB approach will be sought as possible and needed The results will lay the groundwork for basis set limit DFT calculations at greatly reduced computational cost thereby potentially greatly expanding their usefulness for biophysical modeling Project narrative This project will improve computer based quantum mechanical modeling of biophysical problems such as the conformational energies that determine drug binding and the ability to understand enzymatic pathways New software algorithms that greatly reduce the cost of reliable calculations will be developed

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.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

48 SBIR/STTR records share this UEI (1993–2023). Reported award amounts total $20,068,274. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services, Department of Energy, Department of Defense, National Science Foundation

Agency intelligence

Department of Health and Human Services

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