SBIR/STTR Research Award

1a Cryo-Electron Microscopy Multiplexed Analysis (cryo-EMMA) with Big-Data Methods

Award identifier c803a997e5d948d1cdc633216d2923d944c96bdfb47b3b43df94bcebcd5d460eAwarding agency Department of Energy

Award amount

$1,500,000

Program and phase

SBIR · Phase II

Award year

2020

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Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
LIGO ANALYTICS INC
Proposal award date
2020-04-06
Contract end date
2022-04-05
UEI
H3WXH47J27H7
Solicitation number
DE-FOA-0002155
Topic code
01a

Research abstract

Experimentally obtained, structural models of macromolecules provide information that helps us to understand biochemical and chemical reactions and to design compounds that modulate these reactions. Therefore, methods that generate such structural models are highly significant to research and development efforts in industrial and governmental laboratories. Cryo-electron microscopy single particle reconstruction (cryo-EM SPR) is a powerful technique that can generate highly accurate structural models. In cryo-EM SPR, features of micrographs are analyzed and classified to enable alignment and signal averaging from thousands to millions of particle snapshots – each showing a molecule of interest in a single orientation. Success of a cryo-EM SPR experiment depends on the accuracy of alignment between single images of molecules, and for macromolecules having smaller masses, the amount of information in each snapshot is frequently insufficient for accurate alignment. Our project addresses this major barrier to cryo-EM SPR progress by developing and implementing new and powerful algorithms that use graphical processing units (GPUs) to recover and combine information present in cryo-EM images in the most optimal manner. In Phase I, we developed and implemented algorithms using GPUs that perform the early steps of cryo-EM SPR data analysis – classification and image alignment for macromolecules. Our solutions have definite superior aspects that we plan to leverage in Phase II, where we will incorporate our methods into an integrated software application. Our integrated application will include not only superior algorithmic and numerical approaches, but also elaborate management of a complex hierarchy of calculations, a graphical user interface providing fast, thorough, and informative feedback on project progress. This user-friendly package will be commercially distributed (Phase II and III). We expect that our novel algorithms and new approach to resource management will contribute to cryo-EM SPR’s fast expansion and will enable studies of macromolecules and their complexes that are currently inaccessible to the technique, either due to their size or their structural heterogeneity. These benefits are of high significance for the field, so the potential for successful commercialization is high.

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

8 SBIR/STTR records share this UEI (2019–2025). Reported award amounts total $6,581,517. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Health and Human Services, Department of Energy

Agency intelligence

Department of Energy

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