Welcome to the website of the Biological Modeling Specialty Section (BMSS) of the Society of Toxicology (USA). The BMSS was established in 2000 (History).
Its mission/objective is to:
- Serve as the focal point for interaction of members of the Society of Toxicology interested in “BIOLOGICAL MODELING” toxicology.
- Develop, propose, and conduct programs and educational activities that emphasize the latest development in “BIOLOGICAL MODELING” toxicology.
- Relate those developments to the activities of the Society of Toxicology and stimulate new growth in “BIOLOGICAL MODELING” toxicology as it relates to the science of toxicology.
- Act as a resource to the Society in the area of the Section’s interest.
Welcome to the Biological Model Specialty Section (BMSS) web site. If you are not a member, please consider joining our group. The section officers and I are always happy to answer questions that you may have. For those of you who are already members, thank you for your support and for being part of this important group. The BMSS is a diverse group of people from academia, industry, and government with a passion for using quantitative, mathematical, and computational methods to solve challenging problems in toxicological safety and risk assessment. Our field is in a boom phase with high demand for new computational techniques and approaches to meet the needs of Tox21 and other forward-thinking initiatives, with challenges ranging from in vitro to in vivo extrapolation to the prediction of gene and cell perturbations associated with adverse pathways. On the drug side, PBPK and computational systems biology approaches are increasingly used in drug safety assessment and in a regulatory capacity to address issues ranging from population variability to drug-drug interactions and pediatrics. Over the last few years, BMSS has featured informative webinars on software options and applications for computational analyses. These webinars were well received, and I thank all those who volunteered to speak and those BMSS officers and members who made this happen. On behalf of the current officers and volunteers in the BMSS, who donate their time, thank you for being part of BMSS.
To become a BMSS member, you must be a member in good standing of the Society of Toxicology. To become an SOT member, you can join online.
If you are already a member of the SOT, you can become a BMSS member at any time. The cost of BMSS membership is $20 per year. Postdoctoral and Student SOT members receive one free membership in the Specialty Section of their choice. Additional student memberships in Specialty Sections are $15 per year per section. For more information regarding SOT or Specialty Section memberships, please contact SOT Headquarters directly.
|Brad Reisfeld||Colorado State University, Fort Collins, CO|
|Andy Nong||Health Canada, Ottawa, ON, Canada|
|Tammie Covington||HJF / USAFSAM,
|Jeffrey William Fisher||US FDA-NCTR, Jefferson, AR|
|Dustin Frederick Kapraun||US EPA, Research Triangle Park, NC|
|Alicia Paini||Joint Research Centre, Ispra, Italy|
|Yi-Hsien Cheng||Institute of Computational Comparative Medicine (ICCM) and College of Veterinary Medicine, Kansas State University, Manhattan KS|
To email the Biological Modeling Specialty Section Leadership, please send an email to SOTHQ@toxicology.org.
2018 Perry J. Gehring Biological Modeling Endowment Award
Dr. Yi-Hsien Cheng, Kansas State University, “A general physiologically based pharmacokinetic model for gold nanoparticles of different sizes with multiple administration routes in rats”.
2018 Andersen-Clewell Trainee Award Fund (shared with the Risk Assessment Specialty Fund)
Dr. Yi-Hsien Cheng, Kansas State University, Probabilistic risk assessment of gold nanoparticles by integrating in vitro and in vivo toxicity with physiologically based pharmacokinetic modeling.
2018 Trainee Award (made possible by a generous donation from Melvin E. Andersen)
Dr. Miao Li, Kansa State University, “Application of Population Physiologically Based Pharmacokinetic Model for Penicillin G in Dairy Cows to Facilitate Food Safety Assessment”.
Biological Modeling Best Paper Award for Publication Year 2018
Bois FY, Ochoa JGD, Gajewska M, Kovarich S, Mauch K, Paini A, Pery A, Benito JVS, Teng S, and Worth A. Multistage modeling approaches for assessing cosmetic ingredients safety. Toxicology 392 (2017) 130-139.
- Worley RR, Yang X, Fisher J. Physiologically based pharmacokinetic modeling of human exposure to perfluorooctanoic acid suggests historical non drinking-water exposures are important for predicting current serum concentrations. Toxicology and Applied Pharmacology 330 (2017), 9-21.
- M Andersen, M Black, J Campbell, S Pendse, H Clewell III, L Pottenger, J Bus, D Dodd, D Kemp, and P McMullen. Combining transcriptomics and PBPK modeling indicates a primary role of hypoxia and altered circadian signaling in dichloromethane carcinogenicity in mouse lung and liver. Toxicology and Applied Pharmacology 332 (2017), 149-158.
- S Borghoff, C Ring, M Banton, and T Leavens. Physiologically based pharmacokinetic model for ethyl tertiary‐butyl ether and tertiary‐butyl alcohol in rats: Contribution of binding to α2u?globulin in male rats and high‐exposure nonlinear kinetics to toxicity and cancer outcomes. Journal of Applied Toxicology 27 (2017), 621-640.
- S Ramoju, D Mattison, B Milton, D McGough, N Shilnikova, H Clewell, M Yoon, M Taylor, D Krewski, and M Andersen. The application of PBPK models in estimating human brain tissue manganese concentrations. Neurotoxicology 58 (2017), 226-237.
- C Ring, R Pearce, R Setzer, B Wetmore and J Wambaugh. Identifying populations sensitive to environmental chemicals by simulating toxicokinetic variability. Environment International 106 (2017), 105-118.
- C Ruark, G Song, M Yoon, M Verner, M Andersen, H Clewell III, and M Longnecker. Quantitative bias analysis for epidemiological associations of perfluoroalkyl substance serum concentrations and early onset of menopause. Environment International 99 (2017) 245-254.
- J Smith, Z carver, T Weber and C Timchalk. Predicting transport of 3,5,6-trichloro-2-pyridinol into saliva using a combination experimental and computational approach. Toxicological Sciences 157(2) (2017), 438-450.
- T Zurlinden and B Reisfeld. Characterizing the effects of race/ethnicity on acetaminophen pharmacokinetics using physiologically based pharmacokinetic modeling. Eur J Drug Metab Pharmacokinet 42 (2017), 143-153.
|Award Title||Andersen-Clewell Trainee Award|
|Award Description||This award is given jointly by the Risk Assessment Specialty Section (RASS) and the Biological Modeling Specialty Section (BMSS). A copy of the research abstract submitted to SOT relating to the application of biological modeling to risk assessment, a brief synopsis of the project (3-5 pages) indicating the relevance of the modeling to risk assessment, and a letter of support from the candidate's major advisor should be sent to the contact below as a single PDF file. The Award Recipient will be selected based on the scientific quality of the abstract, the scientific quality and significance of the research project overall, the significance of the findings, and demonstrating excellence in health risk assessment. Applicants will be considered for all BMSS awards for which graduate students or postdoctoral fellows are eligible.
Eligibility: Graduate students or postdoctoral fellows who are SOT members.
Contact: Patrica Ruiz Recipient Receives: Achievement plaque to the graduate student or postdoctoral fellow and $1,500 check.
This award is made possible by the Andersen-Clewell Award Fund of the SOT Endowment.
|Award Title||Best Paper Award|
|Award Description||The Biological Modeling Specialty Section (BMSS) will give a “Best Paper Award” for the authors of the best biologically based computational modeling paper published in peer-reviewed literature (in hard copy or online) in 2019. The award will be presented at the BMSS Business Meeting Reception at the Society of Toxicology Annual Meeting.
Process: The Best Paper Award Committee will be composed of BMSS member volunteers and led by the BMSS Vice President. The Committee will search Medline and other databases to identify candidate papers. Each candidate paper will be judged on the basis of innovation, quality of modeling, quality of the manuscript, impact on the field, utility in toxicology/risk assessment, and other criteria. At least one of the authors on the paper must be a SOT member.
BMSS members are also encouraged to nominate papers for competition by sending a PDF of the published paper, or its abstract and complete citation, via email to Qiang Zhang.
|Award Title||Best Trainee Abstract Award|
|Award Description||The Biological Modeling Specialty Section (BMSS) will present the BMSS Best Trainee Abstract Award to the lead author of the best biologically-based computational modeling abstract at the BMSS Business Meeting and Reception during the SOT Annual Meeting. An achievement plaque will be presented to the lead author of the winning abstract.
Any student or postdoctoral abstract submitted to SOT for the annual meeting which indicates a biologically-based computational modeling focus or impact is eligible for this award. After acceptance of the abstract by the SOT Program Committee, please send a copy of the abstract to the contacts below (BMSS officers).
Eligibility: All student or postdoctoral SOT abstracts, both poster and platform presentations, that have been accepted by the SOT for presentation at the upcoming Annual Meeting are eligible.
Process: The Best Abstract Award Committee will be composed of BMSS member volunteers and led by the BMSS Vice President-Elect. Beside the nominated abstracts, the Committee will also search the submitted abstracts to identify eligible abstracts. Each candidate abstract will be judged based on innovation, quality of modeling, potential or realized impact on the field, utility in toxicology/risk assessment, and other criteria deemed important to the Committee.
BMSS members are also encouraged to nominate abstracts for competition by sending a copy of the submitted abstract via email to Patricia Ruiz.
|Award Title||Perry J. Gehring Biological Modeling Endowment Award|
|Award Description||The Biological Modeling Specialty Section (BMSS) will present the Perry J. Gehring Biological Modeling Award at the BMSS Business Meeting and Reception during the SOT Annual Meeting. This award is made possible by the Perry J. Gehring Biological Modeling Award Fund of the SOT Endowment, and it will consist of a plaque and a cash award.
Research areas of interest include all aspects of biologically based modeling and simulation; they may include, but are not limited to: modeling of complex biological systems, biological insights gained through model development and application, model validation, and mathematical/statistical/computational approaches to biological modeling.
Eligibility: The competition is open to all current graduate and postdoctoral students whose abstract have been accepted by the SOT for presentation at the upcoming Annual Meeting. Students who are not SOT members must have a major advisor who is a Full or Associate SOT member. Applicants will be considered for all BMSS awards for which graduate students and postdoctoral fellows are eligible.
Application Package: The package should be submitted to Patricia Ruiz, as a single PDF file containing the following three items:
1. A copy of the abstract.
2. A 3-5 page summary of the study with no more than 2 figures, discussing the rationale and scope of the study, significance of findings, and potential impact of the work on advancing toxicological science and biological modeling.
3. A letter of support from his/her major advisor, describing the student’s contributions (both in time and effort) to the overall study and modeling-specific tasks.
To be announced.
Topic: Comparison of Various Approaches to AOP Quantification
Date: Wednesday, October 9, 2019
Time: 3:00 PM EDT
Topic: Migration of AcsIX Model Code to Magnolia
Date: Friday, January 18, 2019
Time: 1:00 PM EDT
Topic: In Vitro to in Vivo Extrapolation (IVIVE) to Support New Approach Methodologies (NAMs)-based Safety Assessment: A Tiered Approach with a Focus on the Consideration of Kinetics and Metabolism
Date: Wednesday, December 12, 2018
Time: 3:00 PM EDT
Topic: Quantitative Systems Toxicology as a Tool for Explaining and Predicting Drug-Related Organ Toxicity
Date: Wednesday, April 11, 2018
Time: 11:00 AM EDT
Topic: BMSS Webinar Series: A Liver-centric Multiscale Modeling Framework for Xenobiotics
Date: Wednesday, December 13, 2017
Time: 3:00 PM to 4:30 PM (EST)
Topic: BMSS Webinar Series: An introduction to PK-Sim: the open source platform for PBPK
Date: Tuesday, October 24, 2017
Time: 11:00 am Eastern Daylight Time
There was no recording for this Webinar.
Topic: BMSS Webinar Series: TRA Vitro—Vivo
Date: Friday, September 15, 2017
Time: 11:00 AM Eastern Daylight Time (New York, GMT-04:00)
Topic: BMSS Webinar Series: Performance Assessment and Translation of Individual or Population Physiologically Based Pharmacokinetic Models from acslX to Berkeley Madonna, MATLAB, and R language.
Date: Friday, July 21, 2017
Time: 11:00 AM Eastern Daylight Time (New York, GMT-04:00)
Topic: BMSS Webinar Series: Application of Physiologically-Based Pharmacokinetic Modeling to Explore the Role of Kidney 2 Transporters in Renal Reabsorption of Perfluorooctanoic Acid in the Rat
Date: Tuesday, October 25, 2016
Time: 11:00 AM Eastern Daylight Time (New York, GMT–04:00)
No Slides Available
No Recording Available
Topic: BMSS Webinar Series: PharmML-Exchange Format for Models Used in Quantitative System Pharmacology and Pharmacometrics
Date: Friday, July 22, 2016
Time: 11:00 AM Eastern Daylight Time (New York, GMT–04:00)
Topic: BMSS Webinar Series: Saying I do to the QSAR/PBPK marriage in GastroPlus to predict chemical exposure for safety evaluation
Date: June 16, 2016
Topic: Biological Modeling Webinar Series: Developing PBPK Models in MATLAB and SimBiology
Date: Friday, March 4, 2016
SimBiology for PBPK and Mechanistic Modeling
Translating PBPK Model Code from acslX™ to MATLAB®
- *Webinar presentations and recording have been removed at the presenter’s request.
Topic: BMSS Webinar Series: Understanding Dermal Drug Disposition Using TCAT—A Novel PBPK Model
Date: Thursday, February 16, 2017
Time: 11:00 AM Eastern Standard Time (New York, GMT–04:00)
Topic: Biological Modeling Webinar Series
Date: February 4, 2016
BMSS Activities at the 2018 SOT Annual Meeting
Lunch and Learn:
Aegis Technologies—Makers of modeling software acslXtreme®
Leadscope—Leadscope develops and markets a chemofinformatics application that provides seamless access to research data. It incorporates chemically based data mining, visualization and advanced informatics techniques (prediction tools,scaffold generators, etc.). The platform, coupled with our content
Lhasa Limited—Lhasa Limited develops database system and computer programs that is used to predict toxicity and metabolic fate of chemicals and provide chemical toxicity information management tools.
PLETHUM—Population Lifecourse Exposure-To-Health-Effects Model (PLETHEM) is a modeling platformed developed by us with funding from the American Chemistry Council and under a Memorandum of Understanding with EPA-NCCT.
Simulations-Plus—Simulations Plus, Inc. is the leading developer of Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) and Physiologically-Based Pharmacokinetic (PBPK) modeling and simulation software for the pharmaceutical and biotechnology, industrial chemical, cosmetic, herbicide, and food ingredient industries today. Our software allows pharmaceutical scientists to predict certain key potential endpoints and dynamics, in silico, thereby reducing research & development costs and helping clients make better projects decisions… sooner.
US EPA—Free downloadable copy of EPI Suite v3.11 software for estimation of physical & chemical properties (e.g., Kow, Henry’s Law constant, etc.)
US EPA—Free downloadable copy of Benchmark Dose software (BMDS)
Berkeley Madonna—Software of modeling and analysis of dynamic systems. It is a general purpose differential equation solver that is relatively inexpensive and runs on both Windows and Mac OS. It is currently used by academic and commercial institutions for constructing mathematical models for research and teaching.
The Mathworks—Makers of software MATLAB®