Genetics and Genomics Initiative - 2015

Alves, V. M., Muratov, E., Fourches, D., Strickland, J., Kleinstreuer, N., Andrade, C. H., & Tropsha, A. (2015). Predicting chemically-induced skin reactions. Part I: QSAR models of skin sensitization and their application to identify potentially hazardous compounds. Toxicology and Applied Pharmacology, 284(2), 262–272. https://doi.org/10.1016/J.TAAP.2014.12.014

Alves, V. M., Muratov, E., Fourches, D., Strickland, J., Kleinstreuer, N., Andrade, C. H., & Tropsha, A. (2015). Predicting chemically-induced skin reactions. Part II: QSAR models of skin permeability and the relationships between skin permeability and skin sensitization. Toxicology and Applied Pharmacology, 284(2), 273–280. https://doi.org/10.1016/J.TAAP.2014.12.013

Bainbridge, J. W. B., Mehat, M. S., Sundaram, V., Robbie, S. J., Barker, S. E., Ripamonti, C., … Ali, R. R. (2015). Long-Term Effect of Gene Therapy on Leber’s Congenital Amaurosis. New England Journal of Medicine, 372(20), 1887–1897. https://doi.org/10.1056/NEJMOA1414221

Baker, N. C., Fourches, D., & Tropsha, A. (2015). Drug Side Effect Profiles as Molecular Descriptors for Predictive Modeling of Target Bioactivity. Molecular Informatics, 34(2-3), 160–170. https://doi.org/10.1002/MINF.201400134

Cao, J., Guenther, R. H., Sit, T. L., Lommel, S. A., Opperman, C. H., & Willoughby, J. A. (2015). Development of Abamectin Loaded Plant Virus Nanoparticles for Efficacious Plant Parasitic Nematode Control. ACS Applied Materials & Interfaces, 7(18), 9546–9553. https://doi.org/10.1021/ACSAMI.5B00940

Cox, K. H., Quinnies, K. M., Eschendroeder, A., Didrick, P. M., Eugster, E. A., & Rissman, E. F. (2015). Number of X-chromosome genes influences social behavior and vasopressin gene expression in mice. Psychoneuroendocrinology, 51, 271–281. https://doi.org/10.1016/J.PSYNEUEN.2014.10.010

Crowley, J. J., Zhabotynsky, V., Sun, W., Huang, S., Pakatci, I. K., Kim, Y., … Pardo-Manuel de Villena, F. (2015). Analyses of allele-specific gene expression in highly divergent mouse crosses identifies pervasive allelic imbalance. Nature Genetics, 47(4), 353–360. https://doi.org/10.1038/NG.3222

Crowley, J. J., Zhabotynsky, V., Sun, W., Huang, S., Pakatci, I. K., Kim, Y., … de Villena, F. P.-M. (2015). Erratum: Corrigendum: Analyses of allele-specific gene expression in highly divergent mouse crosses identifies pervasive allelic imbalance. Nature Genetics, 47(6), 690–690. https://doi.org/10.1038/NG0615-690A

Diamond, S. E., Dunn, R. R., Frank, S. D., Haddad, N. M., & Martin, R. A. (2015). Shared and unique responses of insects to the interaction of urbanization and background climate. Current Opinion in Insect Science, 11, 71–77. https://doi.org/10.1016/J.COIS.2015.10.001

Eduati, F., Mangravite, L. M., Wang, T., Tang, H., Bare, J. C., Huang, R., … Saez-Rodriguez, J. (2015). Erratum: Prediction of human population responses to toxic compounds by a collaborative competition. Nature Biotechnology, 33(10), 1109–1109. https://doi.org/10.1038/NBT1015-1109A

Eduati, F., Mangravite, L. M., Wang, T., Tang, H., Bare, J. C., Huang, R., … Saez-Rodriguez, J. (2015). Prediction of human population responses to toxic compounds by a collaborative competition. Nature Biotechnology, 33(9), 933–940. https://doi.org/10.1038/NBT.3299

Goodson, J., Beckstead, R. B., Payne, J., Singh, R. K., & Mohan, A. (2015). Amino acid sequence of Japanese quail (Coturnix japonica) and northern bobwhite (Colinus virginianus) myoglobin. Food Chemistry, 181, 256–262. https://doi.org/10.1016/J.FOODCHEM.2015.02.091

Huang, W., Carbone, M. A., Magwire, M. M., Peiffer, J. A., Lyman, R. F., Stone, E. A., … Mackay, T. F. C. (2015). Genetic basis of transcriptome diversity in Drosophila melanogaster. Proceedings of the National Academy of Sciences, 112(44), E6010–E6019. https://doi.org/10.1073/PNAS.1519159112

Isayev, O., Fourches, D., Muratov, E. N., Oses, C., Rasch, K., Tropsha, A., & Curtarolo, S. (2015). Materials Cartography: Representing and Mining Materials Space Using Structural and Electronic Fingerprints. Chemistry of Materials, 27(3), 735–743. https://doi.org/10.1021/CM503507H

Keung, A. J., Joung, J. K., Khalil, A. S., & Collins, J. J. (2015). Chromatin regulation at the frontier of synthetic biology. Nature Reviews Genetics, 16(3), 159–171. https://doi.org/10.1038/NRG3900

Maier, R., Moser, G., Chen, G.-B., Ripke, S., Coryell, W., Potash, J. B., … Zöllner, S. (2015). Joint Analysis of Psychiatric Disorders Increases Accuracy of Risk Prediction for Schizophrenia, Bipolar Disorder, and Major Depressive Disorder. The American Journal of Human Genetics, 96(2), 283–294. https://doi.org/10.1016/J.AJHG.2014.12.006

Paerl, R. W., Bertrand, E. M., Allen, A. E., Palenik, B., & Azam, F. (2015). Vitamin B1 ecophysiology of marine picoeukaryotic algae: Strain-specific differences and a new role for bacteria in vitamin cycling. Limnology and Oceanography, 60(1), 215–228. https://doi.org/10.1002/LNO.10009

Rotroff, D. M., Shahin, M. H., Gurley, S. B., Zhu, H., Motsinger-Reif, A., Meisner, M., … Kaddurah-Daouk, R. (2015). Pharmacometabolomic Assessments of Atenolol and Hydrochlorothiazide Treatment Reveal Novel Drug Response Phenotypes. CPT: Pharmacometrics & Systems Pharmacology, 4(11), 669–679. https://doi.org/10.1002/PSP4.12017

Shorter, J., Couch, C., Huang, W., Carbone, M. A., Peiffer, J., Anholt, R. R. H., & Mackay, T. F. C. (2015). Genetic architecture of natural variation in Drosophila melanogaster aggressive behavior. Proceedings of the National Academy of Sciences, 112(27), E3555–E3563. https://doi.org/10.1073/PNAS.1510104112

Whitfield, A. E., & Rotenberg, D. (2015). Disruption of insect transmission of plant viruses. Current Opinion in Insect Science, 8, 79–87. https://doi.org/10.1016/J.COIS.2015.01.009