{"id":944,"date":"2024-10-29T12:12:41","date_gmt":"2024-10-29T12:12:41","guid":{"rendered":"https:\/\/bsb.sbc.org.br\/2025\/?page_id=944"},"modified":"2025-09-28T22:23:09","modified_gmt":"2025-09-28T22:23:09","slug":"accepted-works","status":"publish","type":"page","link":"https:\/\/bsb.sbc.org.br\/2025\/accepted-works\/","title":{"rendered":"Accepted works"},"content":{"rendered":"\t\t
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Abstracts\/Posters<\/a><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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1\u00a0 A Hybrid Metaheuristic for Molecular Docking<\/strong><\/p>

Osmar Aguiar Ribeiro Junior (UFMA), Omar Andres Carmona Cortes (IFMA), Joao Otavio Bandeira Diniz (IFMA)<\/p>

2 A multi-level approach using deep learning and transfer learning for classifying non-coding RNAs<\/strong><\/p>

Mirele Costa (Universidade de Brasilia, UnB), Celia G. Ralha (UniversityofBrasilia), Marcelo Macedo Brigido (UnB), Andr\u00e9 Ponce de Leon F de Carvalho (ICMC), Peter Florian Stadler (Universityof Leipzig), Maria Emilia Machado Telles Walter (UnB) Bandeira Diniz (IFMA)<\/p>

3 Approximations for the Weighted Reversal, Transposition, and Indel Distance Problem with Intergenic Region Information<\/strong><\/p>

Gabriel Siqueira (UNICAMP), Alexsandro Oliveira Alexandrino (UNICAMP), Zanoni Dias (University of Campinas)<\/p>

4 Brazilian Biodiversity Natural Products Database: BrNPDB<\/strong><\/p>

Fillipe Alfredo Neves (ICMC\/University of S\u00e3o Paulo), Alan Pilon, Edgard Marx (University of Leipzig), Vanderlan da Silva Bolzani, Marilia Valli, Thomas Riechert (HTWK Leipzig University of Applied Sciences)<\/p>

5 Comparative Analysis of Supervised Algorithms for Protein Cluster Classification Using k-mer Image Embeddings<\/strong><\/p>

Giovanna Soares (UFRN), Hannah Isabele, Matheus Dalmolin, Raquel Barbosa, Marcelo A. C. Fernandes (UFRN)<\/p>

6 DEP: Dual-Path Embeddings for Protein Toxicity Classification<\/strong><\/p>

Andre Gambogi (UFMG), arthurbuzelin (UFMG), Gabriela Miserani, Guilherme Evangelista (UFMG), Pedro Bento (UFMG), Yan Aquino Amorim (DCC\/UFMG), Samira Malaquias, Pedro Rigueira (UFMG), Pedro Robles Dutenhefner (UFMG), Wagner Meira Jr. (UFMG), Gisele Pappa (UFMG)<\/p>

7 Development of Predictive Models with Random Forest and XG Boost for Risk Stratification in Stroke Patients<\/strong><\/p>

Douglas Tranquilino (IFPE-Palmares), Marcos Vin\u00edcius (Instituto Federal de Pernambuco \/ IFPE), Rafael Carli, Gustavo Rau de Almeida Callou (Federal Rural Universityof Pernambuco), Eduardo Antonio Guimaraes Tavares (Federal Universityof Pernambuco), Thiago Valentim Bezerra (Instituto Federal de Educa\u00e7\u00e3o, Ci\u00eancias e Tecnologia de Pernambuco \/ Universidade Federal de Pernambuco)<\/p>

8 Exploring Machine Learning for Early Autism Spectrum Disorder Prediction Using Umbilical Cord Blood Gene Expression<\/strong><\/p>

Laura Galant Speggiorin (UFRGS), Thayne Woycinck Kowalski, Mariana Recamonde-Mendoza (UFRGS)<\/p>

9 From Sequence to Stability \u2013 Rational Insulin Design via Genetic Algorithms and Deep Learning Models in Structural Bioinformatics<\/strong><\/p>

Mateus R. Gomes (UFC), IngrydCarolly de Oliveira Medeiros (UFERSA), Roner da Costa (UFERSA), Eveline Bezerra (UFERSA), Danielo G. Gomes (UFC)<\/p>

10 GA-Channel-Xception: GeneticAlgorithm-Based Color Channel Selection for Deep Learning Detection of Oral Squamous Cell Carcinoma<\/strong><\/p>

Joao Otavio Bandeira Diniz (IFMA), Breno Augusto Tamanini, Andr\u00e9 Farias Alvino, Luana Batista da Cruz (UFCA), Josenildo Silva (IFMA), Omar Andres Carmona Cortes (IFMA), Daniel Lima Gomes Jr. (Instituto Federal de Educa\u00e7\u00e3o, Ci\u00eancia e Tecnologia do Maranh\u00e3o), Antonio Oseas de Carvalho Filho (UFPI)<\/p>

11 Mapping Relevant Genes in Severe Asthma: A Computational Strategy for Biomarker Discovery<\/strong><\/p>

Milenna Pirovani (UFMG), Leonardo Henrique da Silva (UFMG), Jo\u00e3o V\u00edtor Dias, Luana Bastos (UFMG), Let\u00edcia Gontijo (UFMG), Rafael Lemos, Diego Mariano (UFMG), Marcos A. dos Santos (UFMG), Raquel Melo-Minardi<\/p>

12 Methodological Insights into Cancer Driver Gene Prediction: Comparing Graph-Based and Traditional ML Approaches<\/strong><\/p>

Renan Soares de Andrades (UFRGS, Universidade Federal do Rio Grande do Sul), Mariana Recamonde-Mendoza (UFRGS)<\/p>

13 Molecular Dynamics and Quantum Machine Learning Model to Classify Polymorphisms in Multiple Sclerosis<\/strong><\/p>

Diego Rueda (UNAERP), Levy Bueno Alves (USP), Milton Faria Junior (UNAERP), Silvana Giuliatti (University of S\u00e3o Paulo)<\/p>

14 Multi-Class Ovarian Cancer Subtype Classification in Histopathological Images Using Swin Transformer<\/strong><\/p>

Juliany Pereira Costa (UFMA), Igor Rafael Barbosa Estrela (UFMA), Antonio Oseas de Carvalho Filho (UFPI), Anselmo Cardoso de Paiva (UFMA), Arist\u00f3fanes Corr\u00eaa Silva (UFMA), Joao Otavio Bandeira Diniz (IFMA)<\/p>

15 Predicting sepsis prognosis with machine learning models trained on MIMIC-IV<\/strong><\/p>

Felipe Miranda (ITA), Sarah Negreiros (ITA), F\u00e1bio Agostini (ISCMSP)<\/p>

16 Ribosome Role in Regulating Concurrency of mRNA Translation<\/strong><\/p>

Luis Henrique Costa Neto (PUCRIO), Sergio Lifschitz (Pontificia Universidade Cat\u00f3lica do Rio de Janeiro PUC-Rio), Marcos Catanho (FioCruz), Antonio B de Miranda (FioCruz), Edward Hermann Haeusler (PUC)<\/p>

17 Towards an automated pipeline to model a complex-network-driven analysis of microRNAs in cancer: a TCGA-BRCA case study<\/strong><\/p>

Mylena Roberta (UNICAMP), Murilo Geraldo (UNICAMP), Andr\u00e9 Santanch\u00e8 (UNICAMP)<\/p>

18 Using Protein Language Models Embeddingstopredict O-GlcNAcglycosylation sites<\/strong><\/p>

Adenilson Arcanjo de Moura Junior (IFCE, Instituto Federal de Educa\u00e7\u00e3o, Ci\u00eancia e Tecnologia do Cear\u00e1.), Diego Mariano (UFMG), Luana Bastos (UFMG), Ana Lu\u00edsa Bastos (DCC\/UFMG), Milenna Pirovani (UFMG), Raquel C. de Melo-Minardi (UFMG)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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1 A machine learning approach for virtual screening of histone deacetylase inhibitor compounds using aromatic signatures<\/strong><\/p>

Alessandra Cioletti, Diego Mariano (UFMG), Raquel C. de Melo-Minardi (UFMG)<\/p>

2 A Shuffle-BasedStatistical Approach for Robust Pseudogene Annotation<\/strong><\/p>

Pedro Barcelos (Pontificia Universidade Cat\u00f3lica do Rio de Janeiro PUC-Rio), Marcos Catanho (FioCruz), Antonio B de Miranda (FioCruz), Edward Hermann Haeusler (PUC), Sergio Lifschitz (Pontificia Universidade Cat\u00f3lica do Rio de Janeiro PUC-Rio) <\/p>

3 Evaluation of Phenotype-driven Variant Prioritization Methods for Cardiogenetic Diagnosis in the Brazilian Population<\/strong><\/p>

Manuela Bonetto (InCor, HC-FMUSP), Ed Carlos S. Silva, Juliana Jos\u00e9 (InCor, HC-FMUSP), Rogerio S. Rosa, Jos\u00e9 S. L. Patan\u00e9 (InCor, HC-FMUSP) <\/p>

4 Integrated genome and gene diversity analyses of Xanthomonas in metagenomic data<\/strong><\/p>

Mariana Louise Gabas (USP), Arthur Henrique Barrios Solano (USP), Joao C. Setubal (USP) <\/p>

5 Leveraging Sample-Specific Strings to Enhance Fusion Transcript Detection<\/strong><\/p>

Lu\u00edsa Penze (UNICAMP), Jo\u00e3o Meidanis (UNICAMP), Lucas Oliveira (UNICAMP) <\/p>

6 PhysiBoSS-Models: A database for multiscale models<\/strong><\/p>

Vincent No\u00ebl (Institut Curie), Marco Ruscone, Randy Heiland (Indiana University), Arnau Montagud (I2SysBio), Alfonso Valencia, Emmanuel Barillot, Paul Macklin (Indiana University), Laurence Calzone <\/p>

7 Unveiling Novel Secondary Metabolite Gene Clusters in a Paecilomyces sp. Strain from the Brazilian Amazon through Computer Aided Genomic Analysis<\/strong><\/p>

Daniel Oliveira (Ufam), Gleucinei Castro, Sabrina Sousa, Thiago Sousa, Miguel V. de Oliveira (Ufam), Gilvan Ferreira da Silva<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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P01. A Robust Transcriptomic Pipeline Identifies Novel LncRNAs Associated with Sexual Dimorphism in Schistosoma mansoni<\/strong><\/p>

Caio Freire (USP), Thalles Souza-Lopes, Ana Tahira, Sergio Verjovski (USP)\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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P02. A shuffle-basedstatistical approach for robust pseudogene annotation<\/strong><\/p>

Pedro Barcelos (Pontificia Universidade Cat\u00f3lica do Rio de Janeiro PUC-Rio), Marcos Catanho (FioCruz), Antonio B de Miranda (FioCruz), Edward Hermann Haeusler (PUC), Sergio Lifschitz (Pontificia Universidade Cat\u00f3lica do Rio de Janeiro PUC-Rio)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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P03. Integrating Clinical Guidelines and Genomic Data with AI: Towards Adaptive RAG in Healthcare<\/strong><\/p>

Jean Paes Landim de Lucena, Patrick Terrematte (UFRN)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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P04. Classification and Annotation of Metagenome-Assembled Genomes<\/strong><\/p>

Izabel Gomes (USP)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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P05. Curated Gene Dis: Towards a Sentence-Level Gene\u2013Disease Relation Extraction from Oncology Abstracts<\/strong><\/p>

Bryan Khelven Barbosa (UFSCAR), Maria Julia Porto<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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P06. Exploring soil microbial diversity of PARNA Tijuca<\/strong><\/p>

Beatriz Moura da Silva (UFRJ), Danielly Mariano (UFRJ), Lucia Bahiense (UFRJ), Paulo Bisch (Federal Universityof Rio de Janeiro), Diogo AntonioTschoeke (UFRJ), Graciela Maria Dias (UFRJ)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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P07. Exploring TabPFNv2 as a Novel Baseline for ADMET Prediction in Drug Discovery<\/strong>
OroelIpas (Universityof Granada)<\/strong><\/p>

Ignacio Su\u00e1rez Mart\u00edn (Universidad de Granada), Guillermo Gomez-Trenado (Universidad de Granada), Isaac Triguero (Universityof Granada, Spain), Roc\u00edo Romero Zaliz (Universityof Granada)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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P08. Forecasting binding affinity of paratope-epitope surfaces with a novel decision tree framework<\/strong><\/p>

Shawnak Shivakumar (MAHS)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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P09. Identification and annotation of alternative splicing of microexon genes in version 10 of the Schistosoma mansoni genome<\/strong><\/p>

KAROLLINE SILVA (USP), Ana Tahira, Sergio Verjovski-Almeida (USP)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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P10. Identification of IP3 Pathway Components in Plasmodium falciparum and P. chabaudi Using Gene Co-expression Networks.<\/strong><\/p>

Lyang Higa Cano (Universidade de S\u00e3o Paulo, Instituto de Matem\u00e1tica e Estat\u00edstica), Celia Regina da Silva Garcia, Ronaldo Fumio Hashimoto (University of S\u00e3o Paulo)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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P11. Impact of ITIM1 Polymorphisms on SHP-2-LILRB2 Complex
<\/strong><\/p>

Laura Maria de Ara\u00fajo Pereira (USP), Silvana Giuliatti (University of S\u00e3o Paulo)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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P12. Improving Clustering Coherence in scRNA-seq Data with Prior Knowledge and Pairwise Constraints<\/strong><\/p>

Davi Guimar\u00e3es, Mateus Pereira (IBM Research), Kele Teixeira Belloze (CEFET\/RJ), Marcel Pedroso (FioCruz), Eduardo Bezerra (CEFET\/RJ)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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P13. In silico identification of SEPs encoded by long non-coding RNAs<\/strong><\/p>

Rafael Nascimento (University of S\u00e3o Paulo), Eduardo Reis (USP), Joao C. Setubal (USP)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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P14. Mesoscopic model application to 2-O-methylribose\/RNA hybrids reveals base fraying and salt concentration effects<\/strong><\/p>

Daniel Jesus (UFMG), Gerald Weber (Federal University of Ouro Preto)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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P15. Molecular Modelling as a Strategy to Specific Antibody Design for ApoE4\u2019s Carries<\/strong><\/p>

Victor Andrade (University of S\u00e3o Paulo), Silvana Giuliatti (USP)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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P16. Multivariate conformational patterns may distinguish HLA-DRB1 alleles associated with Multiple Sclerosis susceptibilit<\/strong>y<\/p>

Levy Bueno Alves (USP), Silvana Giuliatti (University of S\u00e3o Paulo)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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P17. Optimization of genomic prediction in young nellore bulls: balancing production and resilience for tropical cattle production<\/strong><\/p>

Leonardo Melchior (UFAC)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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P18. Simple yet robust annotation of homologous and non-homologous isofunctional enzymes<\/strong><\/p>

Emanuel Umbelino, Alexander da Franca Fernandes (Funda\u00e7\u00e3o Oswaldo Cruz Brasil), Sergio Lifschitz (Pontificia Universidade Cat\u00f3lica do Rio de Janeiro PUC-Rio), Edward Hermann Haeusler (PUC), Ana Carolina Guimaraes (FioCruz), Marcos Catanho (FioCruz), Antonio B de Miranda (FioCruz)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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P19. SynDRA: Synonym Drug Repurposing Alignment<\/strong><\/p>

Tolga Corbaci (Harvard Medical School), Katjusa Koler, Erlend Skaga, Pourya Naderi Yeganeh, Winston Hide<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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P20. Towards a Roadmap for Translational Bioinformatics in the Era of AI and Personal Data Governance<\/strong><\/p>

Luana Alvarenga<\/a>\u00a0(UFRN),\u00a0Leonardo C\u00e9sar Teon\u00e1cio Bezerra<\/a>\u00a0(Federal University of Rio Grande do Norte),\u00a0Renan Moioli<\/a>\u00a0(Federal University of Rio Grande do Norte),\u00a0Cesar Renno-Costa<\/a>\u00a0(UFRN)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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P21. Type VI Secretion System in Pseudomonas aeruginosa \u2013 distribution and comparative analysis<\/strong><\/p>

Hadassa Loth de Oliveira\u00a0(UFRJ),\u00a0Graciela Maria Dias\u00a0(UFRJ),\u00a0Bianca Cruz Neves<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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P22. Uncovering the hidden structure of subspecies in large metagenomic datasets<\/strong><\/p>

Arthur Henrique Barrios Solano (USP), Joao C. Setubal (USP)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Accepted Works Full Papers Short Papers Abstracts\/Posters Full Papers 1\u00a0 A Hybrid Metaheuristic for Molecular Docking Osmar Aguiar Ribeiro Junior (UFMA), Omar Andres Carmona Cortes (IFMA), Joao Otavio Bandeira Diniz (IFMA) 2 A multi-level approach using deep learning and transfer learning for classifying non-coding RNAs Mirele Costa (Universidade de Brasilia, UnB), Celia G. Ralha (UniversityofBrasilia), […]<\/p>\n","protected":false},"author":11,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-944","page","type-page","status-publish","hentry","entry"],"_links":{"self":[{"href":"https:\/\/bsb.sbc.org.br\/2025\/wp-json\/wp\/v2\/pages\/944","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bsb.sbc.org.br\/2025\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bsb.sbc.org.br\/2025\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bsb.sbc.org.br\/2025\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/bsb.sbc.org.br\/2025\/wp-json\/wp\/v2\/comments?post=944"}],"version-history":[{"count":219,"href":"https:\/\/bsb.sbc.org.br\/2025\/wp-json\/wp\/v2\/pages\/944\/revisions"}],"predecessor-version":[{"id":3387,"href":"https:\/\/bsb.sbc.org.br\/2025\/wp-json\/wp\/v2\/pages\/944\/revisions\/3387"}],"wp:attachment":[{"href":"https:\/\/bsb.sbc.org.br\/2025\/wp-json\/wp\/v2\/media?parent=944"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}