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Marcio Luis Acencio

CV Lattes GoogleMyCitations ResearcherID

Universidade Estadual Paulista (UNESP). Campus de Botucatu. Instituto de Biociências (IBB)  (Institutional affiliation for the last research proposal)
Birthplace: Brazil

bachelor's at Ciências Biológicas - Modalidade Médica from Universidade Federal de São Paulo (1998), master's at Genetics from Universidade de São Paulo (2002) and doctorate at Ciências Biológicas em Genética from Instituto de Biociências de Botucatu - UNESP (2011). Has experience in Biochemistry, acting on the following subjects: bioinformática, propriedades topológicas, redes biológicas integradas and motivos. (Source: Lattes Curriculum)

Scholarships in Brazil
FAPESP support in numbers * Updated October 19, 2019
Total / Available in English
4 / 3 Completed scholarships in Brazil

Associated processes
Most frequent collaborators in research granted by FAPESP
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Use this Research Supported by FAPESP (BV/FAPESP) channel only to send messages referring to FAPESP-funded scientific projects.





Keywords used by the researcher
Scientific publications resulting from Research Grants and Scholarships under the grantee's responsibility (12)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

Data from Web of Science

BOVOLENTA, LUIZ A.; ACENCIO, MARCIO L.; LEMKE, NEY. HTRIdb: an open-access database for experimentally verified human transcriptional regulation interactions. BMC Genomics, v. 13, . Web of Science Citations: 114. (10/20684-3, 09/10382-2)

COSTA, PEDRO RAFAEL; ACENCIO, MARCIO LUIS; LEMKE, NEY. Cooperative RNA Polymerase Molecules Behavior on a Stochastic Sequence-Dependent Model for Transcription Elongation. PLoS One, v. 8, n. 2, . Web of Science Citations: 5. (10/03338-4, 10/20684-3, 09/10382-2)

VALENTE, GUILHERME T.; ACENCIO, MARCIO L.; MARTINS, CESAR; LEMKE, NEY. The Development of a Universal In Silico Predictor of Protein-Protein Interactions. PLoS One, v. 8, n. 5, . Web of Science Citations: 17. (09/05234-4, 13/02018-4)

COSTA‚ P.R.; ACENCIO‚ M.L.; LEMKE‚ N.. A machine learning approach for genome-wide prediction of morbid and druggable human genes based on systems-level data. BMC Genomics, v. 11, n. Suppl 5, p. S9, . (07/02827-9, 07/01213-7, 07/08466-8)

ACENCIO, MARCIO LUIS; BOVOLENTA, LUIZ AUGUSTO; CAMILO, ESTHER; LEMKE, NEY. Prediction of Oncogenic Interactions and Cancer-Related Signaling Networks Based on Network Topology. PLoS One, v. 8, n. 10, . Web of Science Citations: 5. (10/20684-3, 12/13450-1, 13/02018-4, 12/00741-8)

ZHANG, XUE; ACENCIO, MARCIO LUIS; LEMKE, NEY. Predicting Essential Genes and Proteins Based on Machine Learning and Network Topological Features: A Comprehensive Review. FRONTIERS IN PHYSIOLOGY, v. 7, . Web of Science Citations: 21. (13/02018-4)

PINHAL, DANILLO; BOVOLENTA, LUIZ A.; MOXON, SIMON; OLIVEIRA, ARTHUR C.; NACHTIGALL, PEDRO G.; ACENCIO, MARCIO L.; PATTON, JAMES G.; HILSDORF, ALEXANDRE W. S.; LEMKE, NEY; MARTINS, CESAR. Genome-wide microRNA screening in Nile tilapia reveals pervasive isomiRs' transcription, sex-biased arm switching and increasing complexity of expression throughout development. SCIENTIFIC REPORTS, v. 8, . Web of Science Citations: 3. (15/16661-1, 12/13450-1, 12/15589-7, 15/19176-7, 11/06465-0, 13/06864-7)

POLLO-OLIVEIRA, LETICIA; POST, HARM; ACENCIO, MARCIO LUIS; LEMKE, NEY; VAN DEN TOORN, HENK; TRAGANTE, VINICIUS; HECK, ALBERT J. R.; ALTELAAR, A. F. MAARTEN; YATSUDA, ANA PATRICIA. Unravelling the Neospora caninum secretome through the secreted fraction (ESA) and quantification of the discharged tachyzoite using high-resolution mass spectrometry-based proteomics. PARASITES & VECTORS, v. 6, . Web of Science Citations: 9. (10/20684-3, 13/02018-4)

CAMILO, ESTHER; BOVOLENTA, LUIZ A.; ACENCIO, MARCIO L.; RYBARCZYK-FILHO, JOSE L.; CASTRO, MAURO A. A.; MOREIRA, JOSE C. F.; LEMKE, NEY. GALANT: a Cytoscape plugin for visualizing data as functional landscapes projected onto biological networks. Bioinformatics, v. 29, n. 19, p. 2505-2506, . Web of Science Citations: 3. (10/20684-3, 12/13450-1, 13/02018-4, 12/00741-8)

ACENCIO, MARCIO L.; LEMKE, NEY. Towards the prediction of essential genes by integration of network topology, cellular localization and biological process information. BMC Bioinformatics, v. 10, . Web of Science Citations: 93. (07/02827-9, 07/01213-7)

KANDOI, GAURAV; ACENCIO, MARCIO L.; LEMKE, NEY. Prediction of Druggable Proteins Using Machine Learning and Systems Biology: A Mini-Review. FRONTIERS IN PHYSIOLOGY, v. 6, . Web of Science Citations: 9. (13/02018-4)

BOVOLENTA‚ L.; ACENCIO‚ M.; LEMKE‚ N.. The development of an open-access database for human transcriptional regulation interactions. BMC Bioinformatics, v. 12, n. Suppl 11, p. A10, . (09/10382-2, 10/20684-3)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

ACENCIO, Marcio Luis. Construção e análise da rede integrada de interações entre genes humanos envolvida com a regulação da transição G1/S do ciclo celular pela adesão à matriz extracelular. 2011. 119f. Tese (Doutorado) – . Universidade Estadual Paulista "Júlio de Mesquita Filho" Instituto de Biociências (Campus de Botucatu). Botucatu. (07/01213-7)

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