SBIR/STTR Research Award

A New In Silico Design Platform for Building Custom Controlled Release Systems

Award identifier 8429ed8bdd094118761fe1386057cffcce12eb44f190acd7b9de6239042540bfAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$256,217

Program and phase

STTR · Phase I

Award year

2013

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
Qrono, Inc.
Proposal award date
Not reported
Contract end date
Not reported
UEI
S8NSYCMSNF79
Solicitation number
PA11-097
Topic code
NIGMS

Research abstract

DESCRIPTION (provided by applicant): Controlled release formulations can improve patient adherence and drug safety or even enable new types of basic medical research. The key to realizing these benefits is the ability to design and produce these formulations in a cost-effectiv and timely manner. Thus far, strategies at improving this process have focused on the development of novel materials and production processes that tailored for experimentally tuning a formulation's performance. Recently, the University of Pittsburgh (Pitt) has discovered new in silico design techniques that may, for the first time, make it possible to transform an expensive and time consuming empirical development process into a rapid and cost effective process. ChroKnow's long-term objective is to bring speed and efficiency formulation design process, a crucial step toward the enabling widespread adoption of controlled release systems by pharmaceutical companies and even academic laboratories. We hypothesize that algorithms (developedat Pitt) can be used to predictively design and build a diverse set of controlled release formulations based on unmet needs pharmaceutical scientists or academic researchers over a period of time that is yet unprecedented in the field. This hypothesis is supported by in vitro data demonstrating that two representative formulations have successfully been designed and produced using ChroKnow's algorithms. Herein, we put forth three real-world challenges to complete this validation: Specific Aim 1: To design and build a formulation that delivers Genentech's ranibizumab for 3 months. Motivation: Dramatically improve adherence in patients with ARMD over the current once-monthly treatment. Specific Aim 2: To create a formulation that delivers Complexa's 10-NO2-octadeca-9-enoic acid for 2 weeks. Motivation: Replicate delivery performance of osmotic pump implants current used in preclinical testing Specific Aim 3: To create a formulation for an academic PI that delivers vasotocin antisense for 10 days. Motivation:Permit the first extended evaluation of this neuropeptide's action on animal behavior in the field. Each of the formulations specified above will be designed and built in collaboration between ChroKnow Inc. and the University of Pittsburgh. Completion ofeach aim will yield a formulation whose in vitro release kinetics are consistent with the performance predicted by the algorithms. PUBLIC HEALTH RELEVANCE PUBLIC HEALTH RELEVANCE: This work has relevance to public health as it intends to bring speed and efficiency to the development of controlled release formulations. As prescription medications, these formulations address the leading causes of patient nonadherence, which is responsible for 10% of hospitalizations and over 100 billion in annualmedical expenses. As tools for research these formulations enable identifications of new drug targets and novel biomimetic treatments in fields ranging from immunology to neuroethology.

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

10 SBIR/STTR records share this UEI (2013–2024). Reported award amounts total $5,289,085. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

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

Agency intelligence

Department of Health and Human Services

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