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

P01 – A bioinformatics approach to define host-element boundaries using Microviridae phages and casposons as study models

P02 – A Curated Dataset for Machine Learning Training to Predict Novel Peptide Inhibitors of Voltage-Gated Sodium Channels in Drosophila suzukii (Matsumura, 1931) 

P03 – A genomic approach to the selection of growth-promoting bacteria in maize using reverse ecology

P04 – A graphical bioinformatics tool for delineating viral taxonomic levels

P05 – A Tm-value prediction system and molecular dynamics analysis of AmNA-containing gapmer antisense oligonucleotides

P06 – Analysis of rbd-spike interactions of sars-cov-2 omicron variants with ace2 through molecular dynamics

P07 – Antimicrobial Resistance Genes in Oligotrophic Ecosystems: An Evolutionary Insight from Microbialites and Microbial Mats of Cuatro Ciénegas

P08 – Application of Machine Learning Algorithms for Identification of Viruses in Dark Matter from Next-Generation Sequencing

P09 – 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

P57 – Large scale analysis of sialic acid incorporation mechanisms of microorganisms from intestinal microbiota

P58 – Improvement of the assembly and Annotation of the Trypanosoma cruzi Genome Using Hi-C Data

Proceedings 

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