Predicting opioid receptor binding affinity of pharmacologically unclassified designer substances using molecular docking.

Autor: Christopher R Ellis, Naomi L Kruhlak, Marlene T Kim, Edward G Hawkins, Lidiya Stavitskaya

Publikováno v: PLoS ONE, Vol 13, Iss 5, p e0197734 (2018)

Opioids represent a highly-abused and highly potent class of drugs that have become a significant threat to public safety. Often there are little to no pharmacological and toxicological data available for new, illicitly used and abused opioids, and t

Externí odkaz: https://doaj.org/article/f4e982f81f814f7a98743df92d56ead0

In silico toxicology protocols

Autor: Kyle P. Glover, Yumi Akahori, Michelle O. Kenyon, David Jones, Angela White, Patricia Ruiz, Dave Bower, Mark Powley, Janet Moser, Naomi L. Kruhlak, Diana Suarez-Rodriguez, Laura Custer, Chia Wen Hsu, Masamitsu Honma, Joel P. Bercu, Steve Gutsell, Krista L. Dobo, Bernhard Majer, Andrew Teasdale, Lidiya Stavitskaya, Aynur O. Aptula, Barry Hardy, Candice Y. Johnson, Scott S. Auerbach, Nichola Gellatly, Rositsa Serafimova, David Allen, Samantha E. Gad-McDonald, Alessandro Brigo, Lennart T. Anger, Kevin P. Cross, Pete Watts, Louise Neilson, Wendy Simpson, Jedd Hillegass, Véronique Gervais, Penny Leavitt, Jui-Hua Hsieh, Kristine L. Witt, Reinhard Stidl, Magdalena Dettwiler, K. Hughes, Romualdo Benigni, Lisa Beilke, Marlene T. Kim, Scott A. Masten, Adam Woolley, Phillip Bellion, Kevin A. Ford, David T. Szabo, Alexander Amberg, Anna Vuorinen, Brian A. Wall, Mark T. D. Cronin, Marie C. Fortin, Zoryana Cammerer, Benoît Schilter, Glenn J. Myatt, Klaus Kümmerer, Ernst Ahlberg, Grace Patlewicz, M. Vijayaraj Reddy, Craig Zwickl, Donald P. Quigley, David Woolley, Tudor I. Oprea, Jacky Van Gompel, Ewan D. Booth, Alexandre Paulino, Wolfgang Muster, Sunil Kulkarni, Alejandra Trejo-Martin, Moiz Mumtaz, Andrea Richarz, Joerg Wichard, James Harvey, Susanne Glowienke, Elena Lo Piparo, Natalie Burden, Catrin Hasselgren, Jean Pierre Valentin, Robert A. Jolly, Scott Miller, Ray Kemper

Publikováno v: Myatt, G J, Ahlberg, E, Akahori, Y, Allen, D, Amberg, A, Anger, L T, Aptula, A, Auerbach, S, Beilke, L, Bellion, P, Benigni, R, Bercu, J, Booth, E D, Bower, D, Brigo, A, Burden, N, Cammerer, Z, Cronin, M T D, Cross, K P, Custer, L, Dettwiler, M, Dobo, K, Ford, K A, Fortin, M C, Gad-McDonald, S E, Gellatly, N, Gervais, V, Glover, K P, Glowienke, S, Van Gompel, J, Gutsell, S, Hardy, B, Harvey, J S, Hillegass, J, Honma, M, Hsieh, J H, Hsu, C W, Hughes, K, Johnson, C, Jolly, R, Jones, D, Kemper, R, Kenyon, M O, Kim, M T, Kruhlak, N L, Kulkarni, S A, Kümmerer, K, Leavitt, P, Majer, B, Masten, S, Miller, S, Moser, J, Mumtaz, M, Muster, W, Neilson, L, Oprea, T I, Patlewicz, G, Paulino, A, Lo Piparo, E, Powley, M, Quigley, D P, Reddy, M V, Richarz, A N, Ruiz, P, Schilter, B, Serafimova, R, Simpson, W, Stavitskaya, L, Stidl, R, Suarez-Rodriguez, D, Szabo, D T, Teasdale, A, Trejo-Martin, A, Valentin, J P, Vuorinen, A, Wall, B A, Watts, P, White, A T, Wichard, J, Witt, K L, Woolley, A, Woolley, D, Zwickl, C & Hasselgren, C 2018, ' In silico toxicology protocols ' Regulatory toxicology and pharmacology : RTP, vol 96, pp. 1-17 . DOI: 10.1016/j.yrtph.2018.04.014
Myatt, G J, Ahlberg, E, Akahori, Y, Allen, D, Amberg, A, Anger, L T, Aptula, A, Auerbach, S, Beilke, L, Bellion, P, Benigni, R, Bercu, J, Booth, E D, Bower, D, Brigo, A, Burden, N, Cammerer, Z, Cronin, M T D, Cross, K P, Custer, L, Dettwiler, M, Dobo, K, Ford, K A, Fortin, M C, Gad-McDonald, S E, Gellatly, N, Gervais, V, Glover, K P, Glowienke, S, Van Gompel, J, Gutsell, S, Hardy, B, Harvey, J S, Hillegass, J, Honma, M, Hsieh, J H, Hsu, C W, Hughes, K, Johnson, C, Jolly, R, Jones, D, Kemper, R, Kenyon, M O, Kim, M T, Kruhlak, N L, Kulkarni, S A, Kümmerer, K, Leavitt, P, Majer, B, Masten, S, Miller, S, Moser, J, Mumtaz, M, Muster, W, Neilson, L, Oprea, T I, Patlewicz, G, Paulino, A, Lo Piparo, E, Powley, M, Quigley, D P, Reddy, M V, Richarz, A N, Ruiz, P, Schilter, B, Serafimova, R, Simpson, W, Stavitskaya, L, Stidl, R, Suarez-Rodriguez, D, Szabo, D T, Teasdale, A, Trejo-Martin, A, Valentin, J P, Vuorinen, A, Wall, B A, Watts, P, White, A T, Wichard, J, Witt, K L, Woolley, A, Woolley, D, Zwickl, C & Hasselgren, C 2018, ' In silico toxicology protocols ', Regulatory toxicology and pharmacology : RTP, vol. 96, pp. 1-17 . https://doi.org/10.1016/j.yrtph.2018.04.014

The present publication surveys several applications of in silico (i.e., computational) toxicology approaches across different industries and institutions. It highlights the need to develop standardized protocols when conducting toxicity-related pred

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e30474fda768266769a029d23592f910
https://doi.org/10.1016/j.yrtph.2018.04.014

Transitioning to composite bacterial mutagenicity models in ICH M7 (Q)SAR analyses

Autor: Roustem D. Saiakhov, Naomi L. Kruhlak, Marlene T. Kim, Kevin P. Cross, Curran Landry, Lidiya Stavitskaya, Suman K. Chakravarti

Publikováno v: Regul Toxicol Pharmacol

The International Council on Harmonisation (ICH) M7(R1) guideline describes the use of complementary (quantitative) structure-activity relationship ((Q)SAR) models to assess the mutagenic potential of drug impurities in new and generic drugs. Histori

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3e4919dfa6cc2980bf18c8c2779dd00
https://pubmed.ncbi.nlm.nih.gov/31586682

Mechanism Profiling of Hepatotoxicity Caused by Oxidative Stress Using Antioxidant Response Element Reporter Gene Assay Models and Big Data

Autor: Menghang Xia, Marlene T. Kim, Alexander Sedykh, Wenyi Wang, Ruili Huang, Hao Zhu

Publikováno v: Environmental Health Perspectives

Background: Hepatotoxicity accounts for a substantial number of drugs being withdrawn from the market. Using traditional animal models to detect hepatotoxicity is expensive and time-consuming. Alternative in vitro methods, in particular cell-based hi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2c06231726f065f3b50247bcb4d91d1
https://doi.org/10.1289/ehp.1509763

Predicting opioid receptor binding affinity of pharmacologically unclassified designer substances using molecular docking

Autor: Naomi L. Kruhlak, Lidiya Stavitskaya, Edward G. Hawkins, Christopher R. Ellis, Marlene T. Kim

Publikováno v: PLoS ONE, Vol 13, Iss 5, p e0197734 (2018)
PLoS ONE

Opioids represent a highly-abused and highly potent class of drugs that have become a significant threat to public safety. Often there are little to no pharmacological and toxicological data available for new, illicitly used and abused opioids, and t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84e22abc8f77a1d788230505f9268760
http://europepmc.org/articles/PMC5967713?pdf=render