Accepted works

Full papers

  1. A Comparative Study of CNN for Prediction of Human Cancer Types Integrating Protein-Protein Interaction Networks and Omics Data
  2. A computational pipeline for species- and strain-level classification of metagenomic sequences
  3. AutoBioLearn: An Automated Data Science Framework for eXplainable Analyses (XAI) of Clinical Datasets
  4. COCaDA – Large-Scale Protein Interatomic Contact Cutoff Optimization by Ca Distance Matrices
  5. Comparison of computational fusion detection methods for short-read RNA-seq data
  6. Evaluating the Generalization of Neural Network-Based Pan-Cancer Classification Models for Cohort-Specific Predictions
  7. Genomic and phylogenetic analysis of plant growth-promoting bacteria
  8. Graph Attention Neural Networks Improving Molecular Docking Rank with Protein-Ligand Contact Maps
  9. Heuristics based on Adjacency Graph Packing for DCJ Distance Considering Intergenic Regions
  10. Modeling cell signaling pathways through universal differential equations and joint inference of first-principle parameters and neural network weights
  11. Optimized Neural Networks for Breast Cancer Classification Using Gene Expression Data
  12. Predicting Mutation-Driven Changes in the SARS-CoV-2 Spike Protein Using Structural Signatures and Neural Networks
  13. Scaling Up ESM2 Architectures for Long Protein Sequences Analysis: Long and Quantized Approaches
  14. Squares in Cycles: Prediction of G-Quadruplexes in Circular RNA Secondary Stuctures
  15. Teaching bioinformatics programming in high school: a case report
  16. Towards a simpler computational semantics for molecular biology
  17. Towards a Surrogate-assisted PALLAS algorithm for Gene Regulatory Network Inference
  18. Tuning a predictive DNA replication programming computational model for Trypanosomatids
  19. Unraveling Evolutionary Paths: Genomic Divergence and Geographic Secrets of Cylindrospermopsis and Sphaerospermopsis
  20. Using graph-based structural signatures and machine learning algorithms for molecular docking assessment of histone deacetylases and small ligands
 

Short papers

  1. A strategy for refining the calculation of contacts in protein-RNA complexes
  2. In silico study of the impact of the PRKAG2-H401Q mutation on AMPK affinity for AMP and ATP

Posters

P1 – A bioinformatics approach to define host-element boundaries using Microviridae phages and casposons as study models

P2 – A Curated Dataset for Machine Learning Training to Predict Novel Peptide Inhibitors of Voltage-Gated Sodium Channels in Drosophila suzukii (Matsumura, 1931) 

P3 – A genomic approach to the selection of growth-promoting bacteria in maize using reverse ecology

P4 – A graphical bioinformatics tool for delineating viral taxonomic levels

P5 – A Tm-value prediction system and molecular dynamics analysis of AmNA-containing gapmer antisense oligonucleotides

P6 – Analysis of rbd-spike interactions of sars-cov-2 omicron variants with ace2 through molecular dynamics

P7 – Antimicrobial Resistance Genes in Oligotrophic Ecosystems: An Evolutionary Insight from Microbialites and Microbial Mats of Cuatro Ciénegas

P8 – Application of Machine Learning Algorithms for Identification of Viruses in Dark Matter from Next-Generation Sequencing

P9 – Beyond mutations: Human Cytomegalovirus as a driver of heterogeneity in Glioblastoma

P10 – Bioinformatics analysis revealed that NOTCH1 expression in Glioblastoma Multiforme patients and Glioma Stem Cells is associated with impaired cellular OXPHOS and low immune infiltration

P11 – Characterization of Psychiatric Disorders Cataloged in the DSM-5 Through a Network Approach

P12 – Classification of HIV genomes through graph comparison and analysis

P13 – ClusterONE Web: a web tool for detecting and visualizing overlapping protein complexes in protein-protein interaction networks

P14 – Comparative Analysis of Supervised Classifiers in Predicting COVID-19 Severity Using Data from 239 Exomes

P15 – Comparative Genomic Analyses Highlight the Crucial Role of Mobile Genetic Elements in Paenibacillus strains

P16 – Comparative Genomic Analyses reveal key characteristics for the Biocontrol and the Promotion of Plant Growth in Paenibacillus Strains

P17 – De novo transcriptome assembly and annotation for gene discovery in Euterpe edulis

P18 – Development of a web system responsible for automating the process of validating three-dimensional proteins

P19 – Discovery of Conditionally Independent Networks Among Gene Expressions in Breast Cancer Using Fast StepGraph

P20 – EEG-Based Schizophrenia Classification Using Vision Transformers and Microstate Analysis

P21 – Enhancing Enzyme Generation with Fine-Tuned Conditional Transformers

P22 – Evaluation Of Machine Learning Models In Identifying Neurological Complications Of Covid-19: An Integrated And Comparative Analysis

P23 – Exploring Genetic Determinants of Post-COVID-19 Dyspnea: An Exome Sequencing Approach

P24 – Exploring hybrid dynamic modeling of ordinary differential equations and data-driven models: From validation to expansion assisted by high-resolution mass spectrometry

P25 – Gene Expression Patterns and Their Impact on Muscle pH in Four Swine Genetic Groups

P26 – Genetic study of patients with persistent neurocognitive sequelae after COVID-19

P27 – Genome mining unveils the Algibacter genus as a treasure trove of biologically-active compounds

P28 – Genomic insights into the association between carbohydrate transporters and antimicrobial resistance in Staphylococcus aureus

P29 – Group I introns in the mitochondrial genomes of Trichoderma spp.

P30 – Harnessing Integrated Informatics and Molecular Simulation to Predict Antibody Epitopes on Viral Envelope Glycoproteins

P31 – Homology-based quantification of the fibrosis in the CT image: A proof of concept for CT image feature-assisted gene expression prediction

P32 – Identification of Genetic Alterations in Patients Who Developed Physical Fatigue as a Long COVID Condition

P33 – In silico validation of Linear B-Cell epitopes using Machine Learning: A proposed approach with organisms of genus Trypanosoma

P34 – Investigation of UDE-based approaches for cell cycle modeling

P35 – Metabarcoding reveal Fusarium decemcellulare as the potential causal agent of the emergent disease in Coffea canephora

P36 – Metagenomics and Bioinformatic tools in Agricultural Microbiome

P37 – Molecules of the Amazon: Integration and Centralization of Data on the Amazon Flora and its Biomolecules

P38 – Multi-omics systems biology approach identifies novel signature genes for neuropsychiatric disorders

P39 – Network Pharmacology and UHPLC-ESI-Q-TOF-MS/MS Approaches to Explore Active Compounds and Mechanisms of Acerola Seed Hydroethanolic Extract in Obesity Treatment

P40 – Non coding variants near the NOTCH1 gene are associated with frailty criteria in Brazilians older adults

P41 – Nuclear Segmentation of Oncology Microscopy Images through Convolutional Neural Networks: A Comparative Analysis

P42 – Predicting aggregation region in proteins with machine learning based on tertiary structure: web platform

P43 – Predicting side effects of drug combinations in realistic experimental settings

P44 – Predictive Modeling Of Post-covid-19 Hair Loss: Insights From Machine Learning And Logistic Regression

P45 – Sialic Acid Enzymes Database

P46 – SP crime: A Python package for merging São Paulo criminal and medical data

P47 – The potential role of the JAK/STAT pathways in the progression of depressive and anxiety disorders in Long COVID

P48 – The Role of Indel Variants in COVID-19: Unveiling Frequency Patterns and Potential Clinical Significance

P49 – The role of polyploid giant cells in cancer progression and their potential as therapeutic targets: a bioinformatic overview

P50 – Topology-based pan-cancer analysis of DLK1-DIO3-derived microRNA roles

P51 – Transcriptomic analysis of Crassostrea gigas oysters exposed to tamoxifen demonstrates alterations in cancer-associated metabolic pathways

P52 -Transcriptomic analysis of the aged female omentum. Insights on metastatic invasion in a mouse model of ovarian cancer 

P53 – Transcriptomic Analysis Reveals a Novel MicroRNA in Porcine Fetuses from Gilds Supplemented with L-Arginine

P54 – Tumor-Regeneration Interplay: Systems Biology and New Models in Comparative Study with Therapeutic Insights

P55 – Unlocking The Anti-aging Potential: In silico Analysis of Astaxanthin, Curcumin, Quercetin, and Resveratrol in Modulating Skin Aging Pathways

P56 – Verdict: An Interactive Web Tool for Exploring Disease Modules and Drug Targets within the Human Interactome

Proceedings 

You will soon be able to access the proceedings of the Brazilian Symposium on Bioinformatics 2024.