Accepted Works

1  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), Marcelo Macedo Brigido (UnB), André Ponce de Leon F de Carvalho (ICMC), Peter Florian Stadler (Universityof Leipzig), Maria Emilia Machado Telles Walter (UnB) Bandeira Diniz (IFMA)

3 Approximations for the Weighted Reversal, Transposition, and Indel Distance Problem with Intergenic Region Information

Gabriel Siqueira (UNICAMP), Alexsandro Oliveira Alexandrino (UNICAMP), Zanoni Dias (University of Campinas)

4 Brazilian Biodiversity Natural Products Database: BrNPDB

Fillipe Alfredo Neves (ICMC/University of São Paulo), Alan Pilon, Edgard Marx (University of Leipzig), Vanderlan da Silva Bolzani, Marilia Valli, Thomas Riechert (HTWK Leipzig University of Applied Sciences)

5 Comparative Analysis of Supervised Algorithms for Protein Cluster Classification Using k-mer Image Embeddings

Giovanna Soares (UFRN), Hannah Isabele, Matheus Dalmolin, Raquel Barbosa, Marcelo A. C. Fernandes (UFRN)

6 DEP: Dual-Path Embeddings for Protein Toxicity Classification

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)

7 Development of Predictive Models with Random Forest and XG Boost for Risk Stratification in Stroke Patients

Douglas Tranquilino (IFPE-Palmares), Marcos Vinícius (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 Educação, Ciências e Tecnologia de Pernambuco / Universidade Federal de Pernambuco)

8 Exploring Machine Learning for Early Autism Spectrum Disorder Prediction Using Umbilical Cord Blood Gene Expression

Laura Galant Speggiorin (UFRGS), Thayne Woycinck Kowalski, Mariana Recamonde-Mendoza (UFRGS)

9 From Sequence to Stability – Rational Insulin Design via Genetic Algorithms and Deep Learning Models in Structural Bioinformatics

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

10 GA-Channel-Xception: GeneticAlgorithm-Based Color Channel Selection for Deep Learning Detection of Oral Squamous Cell Carcinoma

Joao Otavio Bandeira Diniz (IFMA), Breno Augusto Tamanini, André Farias Alvino, Luana Batista da Cruz (UFCA), Josenildo Silva (IFMA), Omar Andres Carmona Cortes (IFMA), Daniel Lima Gomes Jr. (Instituto Federal de Educação, Ciência e Tecnologia do Maranhão), Antonio Oseas de Carvalho Filho (UFPI)

11 Mapping Relevant Genes in Severe Asthma: A Computational Strategy for Biomarker Discovery

Milenna Pirovani (UFMG), Leonardo Henrique da Silva (UFMG), João Vítor Dias, Luana Bastos (UFMG), Letícia Gontijo (UFMG), Rafael Lemos, Diego Mariano (UFMG), Marcos A. dos Santos (UFMG), Raquel Melo-Minardi

12 Methodological Insights into Cancer Driver Gene Prediction: Comparing Graph-Based and Traditional ML Approaches

Renan Soares de Andrades (UFRGS, Universidade Federal do Rio Grande do Sul), Mariana Recamonde-Mendoza (UFRGS)

13 Molecular Dynamics and Quantum Machine Learning Model to Classify Polymorphisms in Multiple Sclerosis

Diego Rueda (UNAERP), Levy Bueno Alves (USP), Milton Faria Junior (UNAERP), Silvana Giuliatti (University of São Paulo)

14 Multi-Class Ovarian Cancer Subtype Classification in Histopathological Images Using Swin Transformer

Juliany Pereira Costa (UFMA), Igor Rafael Barbosa Estrela (UFMA), Antonio Oseas de Carvalho Filho (UFPI), Anselmo Cardoso de Paiva (UFMA), Aristófanes Corrêa Silva (UFMA), Joao Otavio Bandeira Diniz (IFMA)

15 Predicting sepsis prognosis with machine learning models trained on MIMIC-IV

Felipe Miranda (ITA), Sarah Negreiros (ITA), Fábio Agostini (ISCMSP)

16 Ribosome Role in Regulating Concurrency of mRNA Translation

Luis Henrique Costa Neto (PUCRIO), Sergio Lifschitz (Pontificia Universidade Católica do Rio de Janeiro PUC-Rio), Marcos Catanho (FioCruz), Antonio B de Miranda (FioCruz), Edward Hermann Haeusler (PUC)

17 Towards an automated pipeline to model a complex-network-driven analysis of microRNAs in cancer: a TCGA-BRCA case study

Mylena Roberta (UNICAMP), Murilo Geraldo (UNICAMP), André Santanchè (UNICAMP)

18 Using Protein Language Models Embeddingstopredict O-GlcNAcglycosylation sites

Adenilson Arcanjo de Moura Junior (IFCE, Instituto Federal de Educação, Ciência e Tecnologia do Ceará.), Diego Mariano (UFMG), Luana Bastos (UFMG), Ana Luísa Bastos (DCC/UFMG), Milenna Pirovani (UFMG), Raquel C. de Melo-Minardi (UFMG)