A5027374469- Legume Nitrogen Fixing Symbiosis
- Botanical Research and Chemistry
- Soybean genetics and cultivation
- Plant nutrient uptake and metabolism
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Phytase and its Applications
- Clostridium difficile and Clostridium perfringens research
- vaccines and immunoinformatics approaches
- Botulinum Toxin and Related Neurological Disorders
- Agricultural pest management studies
- Genomics and Phylogenetic Studies
- Genetic and Environmental Crop Studies
- Streptococcal Infections and Treatments
- Gut microbiota and health
- Plant Virus Research Studies
- Free Radicals and Antioxidants
- Research on Leishmaniasis Studies
- Computational Drug Discovery Methods
- Malaria Research and Control
- Microbial Inactivation Methods
- Plant responses to water stress
- Bioinformatics and Genomic Networks
- Plant and Fungal Interactions Research
- Trypanosoma species research and implications
Universidad Nacional de Colombia
2010-2022
North Carolina State University
2022
North Dakota State University
2017-2021
Universidad del Rosario
2010-2019
Centro Dermatológico Federico Lleras Acosta
2015
Intelligent Systems Research (United States)
2011
Fundación Instituto de Inmunología de Colombia
2009-2011
The mycobacterial cell envelope has been implicated in the pathogenicity of tuberculosis and therefore a prime target for identification characterization surface proteins with potential application drug vaccine development. In this study, genome Mycobacterium H37Rv was screened using Machine Learning tools that included feature-based predictors, general localizers transmembrane topology predictors to identify are potentially secreted M. tuberculosis, or extracellular milieu through different...
Flooding is a devastating abiotic stress that endangers crop production in the 21th century. Because of severe susceptibility common bean (Phaseolus vulgaris L.) to flooding, an understanding genetic architecture and physiological responses this will set stage for further improvement. However, challenging phenotyping methods hinder large-scale study flooding tolerance other economically important crops. A greenhouse protocol was developed evaluate conditions at early stages. The...
Abstract Background Most predictive methods currently available for the identification of protein secretion mechanisms have focused on classically secreted proteins. In fact, only two been reported predicting non-classically proteins Gram-positive bacteria. This study describes implementation a sequence-based classifier, denoted as NClassG+, identifying bacterial Results Several feature-based classifiers were trained using different sequence transformation vectors (frequencies, dipeptides,...
Different Leishmania species cause distinct clinical manifestations of the infectious disease leishmaniasis. It is fundamentally important to understand mechanisms governing interaction between and its host cell. Little known about this (Viannia) braziliensis human macrophages. In study, we aimed identify differential gene expression non-infected L. (V) braziliensis-infected U937-derived We deployed a whole transcriptome microarray analysis using 72 hours post-infection samples compared...
Abstract Background In plants, the plasma membrane is enclosed by cell wall and anchors RLK RLP proteins, which play a fundamental role in perception of developmental environmental cues are crucial plant development immunity. These receptors belong to large gene/protein families that not easily classified computationally. This detailed analysis these proteins brings new source information legume genetic, physiology breeding research communities. Results A computational approach identify...
Abstract Background The computational prediction of mycobacterial proteins' subcellular localization is key importance for proteome annotation and the identification new drug targets vaccine candidates. Several classifiers have been developed over past few years, which comprised both general feature-based classifiers. Here, we validated ability different bioinformatics approaches, through use SignalP 2.0, TatP 1.0, LipoP Phobius, PA-SUB 2.5, PSORTb v.2.0.4 Gpos-PLoc, to predict secreted...
Protein structure prediction is one of the most important problems in bioinformatics and structural biology. This work proposes a novel suitable methodology to model protein with atomic-level detail by using parallel multi-objective ab initio approach. In proposed model, i) A trigonometric representation used compute backbone side-chain torsion angles atoms; ii) The Chemistry at HARvard Macromolecular Mechanics (CHARMm) function optimizes evaluates structures conformations; iii) evolution...
Some well-known Clostridiales species such as Clostridium difficile and C. perfringens are agents of high impact diseases worldwide. Nevertheless, other foreseen have recently emerged tertium paraputrificum. Three fecal isolates were identified (Gcol.A2 Gcol.A43) paraputrificum (Gcol.A11) during public health screening for infections in Colombia. genomes highly diverse contained large numbers accessory genes. Genetic diversity gene percentage lower among the than genomes. tcdA tcdB toxins...
Abstract Clostridium difficile , the causal agent of antibiotic-associated diarrhea, has a complex epidemiology poorly studied in Latin America. We performed robust genomic and phenotypic profiling 53 C . clinical isolates established from diarrheal samples either intrahospital (IH) or community (CO) populations central Colombia. In vitro tests were conducted to evaluate cytopathic effect, minimum inhibitory concentration ten antimicrobial agents, sporulation efficiency colony forming...
Legume species are an important plant model because of their protein-rich physiology. The adaptability and productivity legumes limited by major biotic abiotic stresses. Responses to these stresses directly involve plasma membrane receptor proteins known as receptor-like kinases proteins. Evaluating the homology relations among RLK RLP for seven legume species, exploring presence synteny blocks allow increased understanding evolutionary relations, physical position, chromosomal distribution...
Background This study describes a bioinformatics approach designed to identify Plasmodium vivax proteins potentially involved in reticulocyte invasion. Specifically, different protein training sets were built and tuned based on biological parameters, such as experimental evidence of secretion and/or involvement invasion-related processes. A profile-based sequence method supported by hidden Markov models (HMMs) was then used build classifiers search for biologically-related proteins. The...
There is genetic evidence of similarities and differences among autoimmune diseases (AIDs) that warrants looking at a general panorama what has been published. Thus, our aim was to determine the main shared genes extent they contribute building clusters AIDs. We combined text-mining approach build concept profiles (GCPs) from literature in MedLine with knowledge protein-protein interactions confirm if GCP encode proteins truly interact. found three which highest contribution encoded showed...
Heterogeneity in virulence potential of L. monocytogenes subgroups have been associated with genetic elements that could provide advantages certain environments to invade, multiply, and survive within a host. The presence gene mutations has found be related attenuated phenotypes, while the groups genes, such as pathogenicity islands (PI), hypervirulent or stress-resistant clones. We evaluated 232 whole genome sequences from invasive listeriosis cases human ruminants US Europe identify...