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English Information

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Authors
# Name
1 Alessandra Cioletti(agcioletti@gmail.com)
2 Diego Mariano(diegomariano@ufmg.br)
3 Raquel de Melo-Minardi(raquelcm@dcc.ufmg.br)

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Reference
# Reference
1 CIOLETTI, Alessandra et al. Using graph-based structural signatures and machine learning algorithms for molecular docking assessment of histone deacetylases and small ligands. In: BRAZILIAN SYMPOSIUM ON BIOINFORMATICS. Anais do XVII BSB. Vitória, Brazil: 2 dec. 2024.
2 LIM, Emilia et al. T3DB: a comprehensively annotated database of common toxins and their targets.Nucleic Acids Research, v. 38, n. Database issue, p. D781-786, jan. 2010.
3 MARIANO, Diego et al. A Computational Method to Propose Mutations in Enzymes Based on Structural Signature Variation (SSV). International Journal of Molecular Sciences, v. 20, n. 2, 15 jan. 2019.
4 MILLARD, Christopher J. et al. Class I HDACs share a common mechanism of regulation by inositol phosphates. Molecular Cell, v. 51, n. 1, p. 57–67, 11 jul. 2013.
5 PIRES, Douglas E. V. et al. aCSM: noise-free graph-based signatures to large-scale receptor-based ligand prediction. Bioinformatics (Oxford, England), v. 29, n. 7, p. 855–861, 1 apr. 2013.
6 SUN, Wenjie et al. Histone Acetylome-wide Association Study of Autism Spectrum Disorder. Cell, v. 167, n. 5, p. 1385- 1397.e11, 17 nov. 2016.
7 WAYE, Mary M. Y.; CHENG, Ho Yu. Genetics and epigenetics of autism: A Review. Psychiatry and Clinical Neurosciences, v. 72, n. 4, p. 228–244, apr. 2018.
8 XIA, Jie et al. Comparative modeling and benchmarking data sets for human histone deacetylases and sirtuin families. Journal of Chemical Information and Modeling, v. 55, n. 2, p. 374–388, 23 feb. 2015.