Science Inventory

Computer Simulation of Developmental Processes and Toxicities (SOT)

Citation:

Knudsen, T. Computer Simulation of Developmental Processes and Toxicities (SOT). Presented at SOT National Meeting 2017, Baltimore, MD, March 12 - 16, 2017. https://doi.org/10.23645/epacomptox.5084320

Impact/Purpose:

presentation at the SOT 2017 annual meeting - This symposium will focus on how the novel technology platforms can help now and in the future, with in vitro/in silico modeling of complex biological systems for developmental and reproductive toxicity issues, and translating systems models into integrative testing strategies.

Description:

Rationale: Recent progress in systems toxicology and synthetic biology have paved the way to new thinking about in vitro/in silico modeling of developmental processes and toxicities, both for embryological and reproductive impacts. Novel in vitro platforms such as 3D organotypic culture models, engineered microscale tissues and complex microphysiological systems (MPS), together with computational models and computer simulation of tissue dynamics, lend themselves to a integrated testing strategies for predictive toxicology. As these emergent methodologies continue to evolve, they must be integrally tied to maternal/fetal physiology and toxicity of the developing individual across early lifestage transitions, from fertilization to birth, through puberty and beyond. Scope: This symposium will focus on how the novel technology platforms can help now and in the future, with in vitro/in silico modeling of complex biological systems for developmental and reproductive toxicity issues, and translating systems models into integrative testing strategies. The symposium is based on three main organizing principles: (1) that novel in vitro platforms with human cells configured in nascent tissue architectures with a native microphysiological environments yield mechanistic understanding of developmental and reproductive impacts of drug/chemical exposures; (2) that novel in silico platforms with high-throughput screening (HTS) data, biologically-inspired computational models of complex adaptive systems, and chemical structure information yields predictive understanding of developmental and reproductive impacts of drug/chemical exposures; and (3) that a combination of technologies is necessary for analytical (to understand) and theoretical (to predict) application for probing the relevant biological processes and toxicological mechanisms to inform safety assessments.

URLs/Downloads:

https://doi.org/10.23645/epacomptox.5084320   Exit

SOT_DEVTOX_WED_TBK_FINAL_M.PDF   (PDF,NA pp, 1658.618 KB,  about PDF)

Record Details:

Record Type: DOCUMENT (PRESENTATION/SLIDE)
Product Published Date: 03/16/2017
Record Last Revised: 09/08/2017
OMB Category: Other
Record ID: 337399

Organization:

U.S. ENVIRONMENTAL PROTECTION AGENCY

OFFICE OF RESEARCH AND DEVELOPMENT

NATIONAL CENTER FOR COMPUTATIONAL TOXICOLOGY