Lauro Angelo Goncalves de Moraes

@ufop.br

Analyst at the Bioinformatics LMU of NUPEB/UFOP
UNIVERSIDADE FEDERAL DE OURO PRETO

Lauro Angelo Goncalves de Moraes


                     Download Compact PDF  
https://researchid.co/lauromoraes

EDUCATION

Undergraduate degree: Federal University of Ouro Preto (UFOP).
Master's degree: Federal University of Ouro Preto (UFOP).
Doctorate (in progress): Federal University of Ouro Preto (UFOP).

RESEARCH, TEACHING, or OTHER INTERESTS

Multidisciplinary, Artificial Intelligence, Computer Science Applications, Biotechnology
11

Scopus Publications

67

Scholar Citations

5

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • Pleiotropic effects on Sarcopenia subphenotypes point to potential molecular markers for the disease
    Isabela D. Fonseca, Luiz Eduardo Fabbri, Lauro Moraes, Daniel B. Coelho, Fernanda C. Dos Santos, et al.
    Archives of Gerontology and Geriatrics, 2024
  • Genomic approachesidentifySTT4 as a new component in glucose-induced activation of yeast plasma membrane H+-ATPase
    Patrícia Gonçalves Prates Barbosa, Izinara Rosse, Maria Ana Santana e Figueiredo Bessa, Débora Faria Silva, Margarete Alice Fontes Saraiva, et al.
    Cell Calcium, 2024
  • Selected cachaça yeast strains share a genomic profile related to traits relevant to industrial fermentation processes
    Anna Clara Silva Campos, Thalita Macedo Araújo, Lauro Moraes, Renato Augusto Corrêa dos Santos, Gustavo Henrique Goldman, et al.
    Applied and Environmental Microbiology, 2024
    The isolation and selection of yeast strains to improve the quality of the cachaça —Brazilian Spirit—have been studied in our research group. Our strategy considers Saccharomyces cerevisiae as the predominant species involved in sugarcane juice fermentation and the presence of different stressors (osmolarity, temperature, ethanol content, and competition with other microorganisms). It also considers producing balanced concentrations of volatile compounds (higher alcohols and acetate and/or ethyl esters), flocculation capacity, and ethanol production. Since the genetic bases behind these traits of interest are not fully established, the whole genome sequencing of 11 different Saccharomyces cerevisiae strains isolated and selected from different places was analyzed to identify the presence of a specific genetic variation common to cachaça yeast strains. We have identified 20,128 single-nucleotide variants shared by all genomes. Of these shared variants, 37 were new variants (being six missenses), and 4,451 were identified as missenses. We performed a detailed functional annotation (using enrichment analysis, protein–protein interaction network analysis, and database and in-depth literature searches) of these new and missense variants. Many genes carrying these variations were involved in the phenotypes of flocculation, tolerance to fermentative stresses, and production of volatile compounds and ethanol. These results demonstrate the existence of a genetic profile shared by the 11 strains under study that could be associated with the applied selective strategy. Thus, this study points out genes and variants that may be used as molecular markers for selecting strains well suited to the fermentation process, including genetic improvement by genome editing, ultimately producing high-quality beverages and adding value. IMPORTANCE This work demonstrates the existence of new genetic markers related to different phenotypes used to select yeast strains and mutations in genes directly involved in producing flavoring compounds and ethanol, and others related to flocculation and stress resistance.
  • Genetic diversity and relatedness in captive collared peccaries Dicotyles tajacu (Linnaeus, 1758) (Cetartiodactyla: Tayassuidae) estimated by microsatellite genotyping using high-throughput sequencing: Implications for their conservation and reintroduction
    Paula Teixeira Gomes, Izinara Cruz Rosse, Lauro Ângelo Gonçalves Moraes, Evanguedes Kalapothakis, Cristiano Schetini de Azevedo, et al.
    Zoo Biology, 2023
    The global population ofDicotyles tajacu(Linnaeus, 1758) (Cetartiodactyla: Tayassuidae), commonly known as the collared peccary and distributed in the Neotropics, is currently in decline due to anthropogenic pressures. In this study, five microsatellite loci were used to genetically characterize a group of 20 captive‐born collared peccaries intended for reintroduction. This study aimed to evaluate the genetic diversity and relatedness of captive individuals using microsatellite markers. The genetic data generated were used to evaluate the viability of the reintroduction and to propose measures for the management and conservation of this species. In this study, we found relatively high genetic diversity indices, indicating that the group was genetically diverse. Inbreeding coefficients with negative values were observed, indicating an excess of alleles in heterozygosis and an absence of inbreeding. One locus showed deviation from Hardy–Weinberg equilibrium, which may have been caused by the mixing of individuals from different origins. Relatedness analysis indicated that some individuals were highly related, with coefficients indicating they may be first‐degree relatives. Our findings indicate that the studied group has enough genetic diversity to be released into nature, but the high individual relatedness found would require the adoption of strategies after the release of animals in the wild to ensure their persistence.
  • Physicochemical Properties for Promoter Classification
    Lauro Moraes, Eduardo Luz, Gladston Moreira
    Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2023
  • CapsProm: a capsule network for promoter prediction
    Lauro Moraes, Pedro Silva, Eduardo Luz, Gladston Moreira
    Computers in Biology and Medicine, 2022
  • 16s rrna gene amplicon sequencing data of the iron quadrangle ferruginous caves (Brazil) shows the importance of conserving this singular and threatened geosystem
    Camila G. C. Lemes, Morghana M. Villa, Érica B. Felestrino, Luiza O. Perucci, Renata A. B. Assis, et al.
    Diversity, 2021
    The Iron Quadrangle (IQ) is one of the main iron ore producing regions of the world. The exploitation of its reserves jeopardizes the high biological endemism associated with this region. This work aimed to understand the diversity and bacterial potential associated with IQ caves. Floor and ceiling samples of seven ferruginous caves and one quartzite cave were collected, and their microbial relative abundance and diversity were established by 16S rRNA gene amplicon sequencing data. The results showed that ferruginous caves present higher microbial abundance and greater microbial diversity compared to the quartzite cave. Many species belonging to genera found in these caves, such as Pseudonocardia and Streptacidiphilus, are known to produce biomolecules of biotechnological interest as macrolides and polyketides. Moreover, comparative analysis of microbial diversity and metabolic potential in a biofilm in pendant microfeature revealed that the microbiota associated with this structure is more similar to the floor rather than ceiling samples, with the presence of genera that may participate in the genesis of these cavities, for instance, Ferrovum, Geobacter, and Sideroxydans. These results provide the first glimpse of the microbial life in these environments and emphasize the need of conservation programs for these areas, which are under intense anthropogenic exploration.
  • A deep descriptor for cross-tasking EEG-based recognition
    Mariana R.F. Mota, Pedro H.L. Silva, Eduardo J.S. Luz, Gladston J.P. Moreira, Thiago Schons, et al.
    Peerj Computer Science, 2021
    Due to the application of vital signs in expert systems, new approaches have emerged, and vital signals have been gaining space in biometrics. One of these signals is the electroencephalogram (EEG). The motor task in which a subject is doing, or even thinking, influences the pattern of brain waves and disturb the signal acquired. In this work, biometrics with the EEG signal from a cross-task perspective are explored. Based on deep convolutional networks (CNN) and Squeeze-and-Excitation Blocks, a novel method is developed to produce a deep EEG signal descriptor to assess the impact of the motor task in EEG signal on biometric verification. The Physionet EEG Motor Movement/Imagery Dataset is used here for method evaluation, which has 64 EEG channels from 109 subjects performing different tasks. Since the volume of data provided by the dataset is not large enough to effectively train a Deep CNN model, it is also proposed a data augmentation technique to achieve better performance. An evaluation protocol is proposed to assess the robustness regarding the number of EEG channels and also to enforce train and test sets without individual overlapping. A new state-of-the-art result is achieved for the cross-task scenario (EER of 0.1%) and the Squeeze-and-Excitation based networks overcome the simple CNN architecture in three out of four cross-individual scenarios.
  • Serratia liquefaciens FG3 isolated from a metallophyte plant sheds light on the evolution and mechanisms of adaptive traits in extreme environments
    Washington Luiz Caneschi, Angélica Bianchini Sanchez, Érica Barbosa Felestrino, Camila Gracyelle de Carvalho Lemes, Isabella Ferreira Cordeiro, et al.
    Scientific Reports, 2019
    Serratia liquefaciens strain FG3 (SlFG3), isolated from the flower of Stachytarpheta glabra in the Brazilian ferruginous fields, has distinctive genomic, adaptive, and biotechnological potential. Herein, using a combination of genomics and molecular approaches, we unlocked the evolution of the adaptive traits acquired by S1FG3, which exhibits the second largest chromosome containing the largest conjugative plasmids described for Serratia. Comparative analysis revealed the presence of 18 genomic islands and 311 unique protein families involved in distinct adaptive features. S1FG3 has a diversified repertoire of genes associated with Nonribosomal peptides (NRPs/PKS), a complete and functional cluster related to cellulose synthesis, and an extensive and functional repertoire of oxidative metabolism genes. In addition, S1FG3 possesses a complete pathway related to protocatecuate and chloroaromatic degradation, and a complete repertoire of genes related to DNA repair and protection that includes mechanisms related to UV light tolerance, redox process resistance, and a laterally acquired capacity to protect DNA using phosphorothioation. These findings summarize that SlFG3 is well-adapted to different biotic and abiotic stress situations imposed by extreme conditions associated with ferruginous fields, unlocking the impact of the lateral gene transfer to adjust the genome for extreme environments, and providing insight into the evolution of prokaryotes.
  • Chimericaldataset creation protocol based on doddington zoo: A biometric application with face, eye, and ECG
    Pedro Lopes Silva, Eduardo Luz, Gladston Moreira, Lauro Moraes, David Menotti
    Sensors Switzerland, 2019
    Multimodal systems are a workaround to enhance the robustness and effectiveness of biometric systems. A proper multimodal dataset is of the utmost importance to build such systems. The literature presents some multimodal datasets, although, to the best of our knowledge, there are no previous studies combining face, iris/eye, and vital signals such as the Electrocardiogram (ECG). Moreover, there is no methodology to guide the construction and evaluation of a chimeric dataset. Taking that fact into account, we propose to create a chimeric dataset from three modalities in this work: ECG, eye, and face. Based on the Doddington Zoo criteria, we also propose a generic and systematic protocol imposing constraints for the creation of homogeneous chimeric individuals, which allow us to perform a fair and reproducible benchmark. Moreover, we have proposed a multimodal approach for these modalities based on state-of-the-art deep representations built by convolutional neural networks. We conduct the experiments in the open-world verification mode and on two different scenarios (intra-session and inter-session), using three modalities from two datasets: CYBHi (ECG) and FRGC (eye and face). Our multimodal approach achieves impressive decidability of 7.20 ± 0.18, yielding an almost perfect verification system (i.e., Equal Error Rate (EER) of 0.20% ± 0.06) on the intra-session scenario with unknown data. On the inter-session scenario, we achieve a decidability of 7.78 ± 0.78 and an EER of 0.06% ± 0.06. In summary, these figures represent a gain of over 28% in decidability and a reduction over 11% of the EER on the intra-session scenario for unknown data compared to the best-known unimodal approach. Besides, we achieve an improvement greater than 22% in decidability and an EER reduction over 6% in the inter-session scenario.
  • TabPath: Interactive tables for metabolic pathway analysis
    Lauro Ângelo Gonçalves de Moraes, Érica Barbosa Felestrino, Renata de Almeida Barbosa Assis, Diogo Matos, Joubert de Castro Lima, et al.
    Bioinformatics, 2018

RECENT SCHOLAR PUBLICATIONS

  • Microbiota and Postmenopause: The resilience of intestinal bacteria in the face of female hormonal aging
    TCA Silva, JAG Oliveira, LÂG Moraes, I Rosse, A Góes-Neto, ...
    PLoS One 20 (6), e0324712 , 2025
    2025
    Citations: 3
  • Pleiotropic effects on Sarcopenia subphenotypes point to potential molecular markers for the disease
    ID Fonseca, LE Fabbri, L Moraes, DB Coelho, FC Dos Santos, I Rosse
    Archives of Gerontology and Geriatrics 127, 105553 , 2024
    2024
  • Genomic approachesidentifySTT4 as a new component in glucose-induced activation of yeast plasma membrane H plus-ATPase
    PG Prates Barbosa, I Rosse, MA Santana e Figueiredo Bessa, DF Silva, ...
    Cell Calcium 123 , 2024
    2024
  • Genomic approachesidentifySTT4 as a new component in glucose-induced activation of yeast plasma membrane H+-ATPase
    PGP Barbosa, I Rosse, DF Silva, MAF Saraiva, AC Cunha, L Moraes, ...
    Cell Calcium 123, 102909 , 2024
    2024
  • Selected cachaça yeast strains share a genomic profile related to traits relevant to industrial fermentation processes
    ACS Campos, TM Araujo, L Moraes, RA Corrêa dos Santos, GH Goldman, ...
    Applied and Environmental Microbiology 90 (1), e01759-23 , 2024
    2024
    Citations: 3
  • Genetic diversity and relatedness in captive collared peccaries Dicotyles tajacu (Linnaeus, 1758) (Cetartiodactyla: Tayassuidae) estimated by microsatellite …
    PT Gomes, IC Rosse, LÂG Moraes, E Kalapothakis, CS de Azevedo, ...
    Zoo Biology 42 (6), 789-796 , 2023
    2023
    Citations: 2
  • Physicochemical Properties for Promoter Classification
    L Moraes, E Luz, G Moreira
    Brazilian Conference on Intelligent Systems, 368-382 , 2023
    2023
  • CapsProm: a capsule network for promoter prediction
    L Moraes, P Silva, E Luz, G Moreira
    Computers in Biology and Medicine 147, 105627 , 2022
    2022
    Citations: 8
  • 16S rRNA gene amplicon sequencing data of the iron quadrangle ferruginous caves (Brazil) shows the importance of conserving this singular and threatened geosystem
    CGC Lemes, MM Villa, ÉB Felestrino, LO Perucci, RAB Assis, IF Cordeiro, ...
    Diversity 13 (10), 494 , 2021
    2021
    Citations: 12
  • A deep descriptor for cross-tasking EEG-based recognition
    MRF Mota, PHL Silva, EJS Luz, GJP Moreira, T Schons, LAG Moraes, ...
    PeerJ Computer Science 7, e549 , 2021
    2021
    Citations: 10
  • Serratia liquefaciens FG3 isolated from a metallophyte plant sheds light on the evolution and mechanisms of adaptive traits in extreme environments
    WL Caneschi, AB Sanchez, ÉB Felestrino, CGC Lemes, IF Cordeiro, ...
    Scientific Reports 9 (1), 18006 , 2019
    2019
    Citations: 11
  • Chimerical Dataset Creation Protocol Based on Doddington Zoo : A Biometric Application with Face, Eye, and ECG
    P Lopes Silva, E Luz, G Moreira, L Moraes, D Menotti
    Sensors 19 (13), 2968 , 2019
    2019
    Citations: 14
  • TabPath: interactive tables for metabolic pathway analysis
    LÂG Moraes, ÉB Felestrino, RAB Assis, D Matos, JC Lima, LA Lima, ...
    Bioinformatics 34 (6), 1040-1042 , 2018
    2018
    Citations: 2
  • Utilização de Redes em Cápsula para Classificação de Regiões Promotoras em Sequências de DNA
    LAG Moraes
    Dissertação de mestrado, Universidade Federal de Ouro Preto , 2018
    2018
    Citations: 1
  • A psicanálise entre a desconstrução do indivíduo e uma nova perspectiva cultural
    LÂG de Moraes, LR Gonçalves, R de Jesus Braga, TC Greggio, ...
    CES Revista 22 (1), 239-253 , 2008
    2008
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • Chimerical Dataset Creation Protocol Based on Doddington Zoo : A Biometric Application with Face, Eye, and ECG
    P Lopes Silva, E Luz, G Moreira, L Moraes, D Menotti
    Sensors 19 (13), 2968 , 2019
    2019
    Citations: 14
  • 16S rRNA gene amplicon sequencing data of the iron quadrangle ferruginous caves (Brazil) shows the importance of conserving this singular and threatened geosystem
    CGC Lemes, MM Villa, ÉB Felestrino, LO Perucci, RAB Assis, IF Cordeiro, ...
    Diversity 13 (10), 494 , 2021
    2021
    Citations: 12
  • Serratia liquefaciens FG3 isolated from a metallophyte plant sheds light on the evolution and mechanisms of adaptive traits in extreme environments
    WL Caneschi, AB Sanchez, ÉB Felestrino, CGC Lemes, IF Cordeiro, ...
    Scientific Reports 9 (1), 18006 , 2019
    2019
    Citations: 11
  • A deep descriptor for cross-tasking EEG-based recognition
    MRF Mota, PHL Silva, EJS Luz, GJP Moreira, T Schons, LAG Moraes, ...
    PeerJ Computer Science 7, e549 , 2021
    2021
    Citations: 10
  • CapsProm: a capsule network for promoter prediction
    L Moraes, P Silva, E Luz, G Moreira
    Computers in Biology and Medicine 147, 105627 , 2022
    2022
    Citations: 8
  • Microbiota and Postmenopause: The resilience of intestinal bacteria in the face of female hormonal aging
    TCA Silva, JAG Oliveira, LÂG Moraes, I Rosse, A Góes-Neto, ...
    PLoS One 20 (6), e0324712 , 2025
    2025
    Citations: 3
  • Selected cachaça yeast strains share a genomic profile related to traits relevant to industrial fermentation processes
    ACS Campos, TM Araujo, L Moraes, RA Corrêa dos Santos, GH Goldman, ...
    Applied and Environmental Microbiology 90 (1), e01759-23 , 2024
    2024
    Citations: 3
  • Genetic diversity and relatedness in captive collared peccaries Dicotyles tajacu (Linnaeus, 1758) (Cetartiodactyla: Tayassuidae) estimated by microsatellite …
    PT Gomes, IC Rosse, LÂG Moraes, E Kalapothakis, CS de Azevedo, ...
    Zoo Biology 42 (6), 789-796 , 2023
    2023
    Citations: 2
  • TabPath: interactive tables for metabolic pathway analysis
    LÂG Moraes, ÉB Felestrino, RAB Assis, D Matos, JC Lima, LA Lima, ...
    Bioinformatics 34 (6), 1040-1042 , 2018
    2018
    Citations: 2
  • Utilização de Redes em Cápsula para Classificação de Regiões Promotoras em Sequências de DNA
    LAG Moraes
    Dissertação de mestrado, Universidade Federal de Ouro Preto , 2018
    2018
    Citations: 1
  • A psicanálise entre a desconstrução do indivíduo e uma nova perspectiva cultural
    LÂG de Moraes, LR Gonçalves, R de Jesus Braga, TC Greggio, ...
    CES Revista 22 (1), 239-253 , 2008
    2008
    Citations: 1
  • Pleiotropic effects on Sarcopenia subphenotypes point to potential molecular markers for the disease
    ID Fonseca, LE Fabbri, L Moraes, DB Coelho, FC Dos Santos, I Rosse
    Archives of Gerontology and Geriatrics 127, 105553 , 2024
    2024
  • Genomic approachesidentifySTT4 as a new component in glucose-induced activation of yeast plasma membrane H plus-ATPase
    PG Prates Barbosa, I Rosse, MA Santana e Figueiredo Bessa, DF Silva, ...
    Cell Calcium 123 , 2024
    2024
  • Genomic approachesidentifySTT4 as a new component in glucose-induced activation of yeast plasma membrane H+-ATPase
    PGP Barbosa, I Rosse, DF Silva, MAF Saraiva, AC Cunha, L Moraes, ...
    Cell Calcium 123, 102909 , 2024
    2024
  • Physicochemical Properties for Promoter Classification
    L Moraes, E Luz, G Moreira
    Brazilian Conference on Intelligent Systems, 368-382 , 2023
    2023