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Cross-Species Molecular Docking Method to Support Predictions of Species Susceptibility to Chemical Effects.

Autor: Schumann PG; Oak Ridge Institute for Science and Education, Duluth, Minnesota, USA., Chang D; U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Chemical Characterization and Exposure Division, Research Triangle Park, North Carolina, USA., Mayasich S; Aquatic Sciences Center, University of Wisconsin-Madison, Madison, Wisconsin, USA.; U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Great Lakes Toxicology and Ecology Division, Duluth, Minnesota, USA., Vliet S; U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Great Lakes Toxicology and Ecology Division, Duluth, Minnesota, USA., Brown T; U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Scientific Computing and Data Curation Division, Duluth, Minnesota, USA., LaLone CA; U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Great Lakes Toxicology and Ecology Division, Duluth, Minnesota, USA.

Publikováno v: Computational toxicology (Amsterdam, Netherlands) [Comput Toxicol] 2024 May 27; Vol. 30.

Role ofCristispira sp. and other bacteria in the chitinase and chitobiase activities of the crystalline style ofCrassostrea virginica (Gmelin).

Autor: Mayasich SA; Chesapeake Biological Laboratory, University of Maryland, P.O. Box 38, 20688, Solomons, Maryland, USA., Smucker RA

Publikováno v: Microbial ecology [Microb Ecol] 1987 Sep; Vol. 14 (2), pp. 157-66.