Discovering chemical activity networks-predicting bioactivity based on structure

Active Project Grant Awarded Last action

Award ID
R35ES031709
Recipient
Awarding agency
Obligated
$10,181,227

Award facts

Assistance listing
93.113 Environmental Health
Completion date 66% complete
Funding
  • $8,551,466.00 Federal
  • $1,629,761.00 Non-federal
Place of performance
Corvallis, OR 97331, USA

Award details come from USAspending.gov.

Description

Abstract
Niehs has established predictive toxicology as a strategic goal for advancing environmental health sciences. The overarching goal of this river proposal is to predict animal toxicity of chemicals based on their structure. My team and i will expose millions of zebrafish embryos to a library of 10,000 synthetic chemicals across wide concentration ranges. If a chemical shows signs of bioactivity, we will systematically analyze whole animal gene expression changes before the phenotype appears. We will formulate hypotheses about which biomolecular targets the chemicals attacked initially and which pathways led to the observed endpoint. To test those hypotheses, we will edit the zebrafish genome via crispr/CAS9 to knock out or over-express critical genes, to discover the ones causally related to the chemical phenotypes. These studies will be highly relevant to human health. Zebrafish possess fully integrated vertebrate organ systems that perform the same functions as their human counterparts and demonstrate well-conserved physiology. Eighty-four percent of the genes that participate in human disease also exist in zebrafish. Zebrafish studies provide a fast, inexpensive way to screen a large volume of chemicals, generate rich hypotheses for drug development, and prioritize candidates for toxicity studies with mammals and human cell cultures. We will compare our results with those of human cell culture studies to clarify the strengths and weaknesses of each method and to reduce the uncertainty associated with applying zebrafish results to human biology. We will post our experimental results in a public database that explains which of the 10,000 TOX21 chemicals are bioactive, which initial targets they strike, and which pathways lead to which endpoints in embryonic and juvenile zebrafish. This information will enable green chemists to detoxify products by substituting a biologically inactive molecule. IT will help toxicologists and risk assessors to prioritize chemicals for expensive experiments with rodents and human cell cultures. IT will give pharmaceutical scientists thousands of new data points upon which to develop hypotheses about how to modulate a given gene target or activate a given pathway. We will use machine-learning-based chemoinformatic approaches to analyze our zebrafish data and infer the relationship between the structure of a chemical and its biological activity. Our rich data about chemical activity networks will advance the scientific community's understanding of linkages between chemical exposure and phenotypes. Our work will enable scientists to predict whether a chemical will be biologically active, what target IT will act upon, and what networks IT will perturb, solely on the basis of its structure. IT will enable scientists to reduce, refine, and replace experiments with animals, including zebrafish, and to predict chemical activity networks with computers.

Transactions

Action Federal Non-federal Date
Amendment $899,841 $0
Amendment $899,841 $0
Amendment $924,091 $0
Amendment $0 $0
Amendment $0 $0
Amendment $856,057 $0
Amendment $856,057 $0
Amendment $856,057 $0
Amendment $849,950 $0
Amendment $849,950 $849,950
Amendment $779,811 $0
Original award $779,811 $779,811
Show all 12

Subawards

Subrecipient Amount Awarded
Rowan University Discovering Chemical Activity Networks-Predicting Bioactivity Based on Structure $84,419
Rowan University $84,419
President And Fellows Of Harvard College $113,631
Rowan University $84,419

Quick answers

Who received award R35ES031709?

R35ES031709 was awarded to Oregon State University by National Institute of Environmental Health Sciences (National Institutes of Health) on July 16, 2021.

How much is award R35ES031709 worth?

$10,181,227 has been obligated on R35ES031709: $8,551,466 in federal funding and $1,629,761 in non-federal funding.

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