A5062687794- Computational Drug Discovery Methods
- Bioinformatics and Genomic Networks
- Cancer Genomics and Diagnostics
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Forensic and Genetic Research
- Machine Learning in Bioinformatics
- Race, Genetics, and Society
- Genetic diversity and population structure
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- Lung Cancer Treatments and Mutations
- Folate and B Vitamins Research
- Colorectal Cancer Treatments and Studies
- Chromosomal and Genetic Variations
- Gene expression and cancer classification
- Trypanosoma species research and implications
- Cancer therapeutics and mechanisms
- Biochemical and Molecular Research
- Neonatal Health and Biochemistry
- Pancreatic and Hepatic Oncology Research
- Protein Degradation and Inhibitors
- DNA Repair Mechanisms
- Multiple Myeloma Research and Treatments
- vaccines and immunoinformatics approaches
Universidad de Las Américas
2014-2024
University of the Americas
2023
Universidade da Coruña
2019-2021
Universidad UTE
2017-2018
National Autonomous University of Nicaragua
2017
Pontificia Universidad Católica del Ecuador
2010
Abstract Over the past decades, consistent studies have shown that race/ethnicity a great impact on cancer incidence, survival, drug response, molecular pathways and epigenetics. Despite influence of in outcomes its health care quality, comprehensive understanding racial/ethnic inclusion oncological research has never been addressed. We therefore explored composition samples/individuals included fundamental (patient-derived models, biobanks genomics) applied (clinical trials). Regarding...
Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer with highest incidence worldwide. HNSCC often diagnosed at advanced stages, incurring significant high mortality morbidity. The use of saliva, as a noninvasive tool for diagnosis cancer, has recently increased. Salivary microRNAs (miRNAs) have emerged promising molecular early HNSCC. aim was to identify differential expression salivary miRNAs associated in altitude mestizo Ecuadorian population. Using PCR Arrays,...
Wuhan, China was the epicenter of first zoonotic transmission severe acute respiratory syndrome coronavirus clade 2 (SARS-CoV-2) in December 2019 and it is causative agent novel human disease (COVID-19). Almost from beginning COVID-19 outbreak several attempts were made to predict possible drugs capable inhibiting virus replication. In present work a drug repurposing study performed identify potential SARS-CoV-2 protease inhibitors. We created Quantitative Structure–Activity Relationship...
Abstract Breast cancer (BC) is a heterogeneous disease where genomic alterations, protein expression deregulation, signaling pathway hormone disruption, ethnicity and environmental determinants are involved. Due to the complexity of BC, prediction proteins involved in this trending topic drug design. This work proposing accurate classifier for BC using six sets sequence descriptors 13 machine-learning methods. After univariate feature selection mix five descriptor families, best was obtained...
Breast cancer (BC) is the leading cause of cancer-related death among women and most commonly diagnosed worldwide. Although in recent years large-scale efforts have focused on identifying new therapeutic targets, a better understanding BC molecular processes required. Here we elucidating hallmarks heterogeneity oncogenic mutations involved precision medicine that remains poorly defined. To fill this gap, established an OncoOmics strategy consists analyzing genomic alterations, signaling...
Abstract Consensus strategy was proved to be highly efficient in the recognition of gene-disease association. Therefore, main objective this study apply theoretical approaches explore genes and communities directly involved breast cancer (BC) pathogenesis. We evaluated consensus between 8 prioritization strategies for early pathogenic genes. A communality analysis protein-protein interaction (PPi) network previously selected enriched with gene ontology, metabolic pathways, as well...
Breast cancer (BC) is the leading cause of cancer-related death among women in 2014. Methylenetetrahydrofolate reductase (MTHFR), methionine synthase (MTR), and MTR (MTRR) are enzymes that play an important role folate metabolism. The single nucleotide polymorphisms, MTHFR C677T, A1298C, A2756G, MTRR A66G, alter plasmatic homocysteine concentrations, causing problems during repairment, synthesis, methylation genetic material. Therefore, it essential to know how BC risk associated with...
Background: There is pressing urgency to identify therapeutic targets and drugs that allow treating COVID-19 patients effectively. Methods: We performed in silico analyses of immune system protein interactome network, single-cell RNA sequencing human tissues, artificial neural networks reveal potential for drug repurposing against COVID-19. Results: screened 1,584 high-confidence proteins ACE2 TMPRSS2 co-expressing cells, finding 25 significantly overexpressed nasal goblet secretory lung...
Introduction: Gastric cancer is one of the most prevalent types worldwide. The World Health Organization (WHO), International Agency for Research on Cancer (IARC), and Global Statistics (GLOBOCAN) reported an age standardized global incidence rate 9.2 per 100,000 individuals gastric in 2022, with a mortality 6.1. Despite considerable progress precision oncology through efforts international consortia, understanding genomic features their influence effectiveness anti-cancer treatments across...
The druggable proteome refers to proteins that can bind small molecules with appropriate chemical affinity, inducing a favorable clinical response. Predicting through screening and in silico modeling is imperative for drug design. To contribute this field, we developed an accurate predictive classifier cancer-driving using amino acid composition descriptors of protein sequences 13 machine learning linear non-linear classifiers. optimal was achieved the support vector method, utilizing 200...
Bladder cancer represents 8% of all malignancies diagnosed in men and 3% women. The risk factors for developing bladder cancer, including the incidence rate, morbidity, mortality, vary according to ethnic group, exposition rate at work, age, gender, tobacco consumption. Moreover, there is a this carcinoma due dietary conditions, demonstrating that certain enzymes neutralize oxidative compound derivative carcinogens, which if not degraded, accumulate body destroy epithelial cells bladder,...
Electronic laboratory notebooks (ELNs) will probably replace paper (PLNs) in academic research due to their advantages data recording, sharing and security. Despite several reports describing technical characteristics of ELNs over PLNs, no study has directly tested ELN performance among researchers. In addition, the usage tablet-based devices or wearable technology as complements never been explored field. To implement an our biomedical institute, here we first present a comparison six using...
Osteosarcoma is the most common subtype of primary bone cancer, affecting mostly adolescents. In recent years, several studies have focused on elucidating molecular mechanisms this sarcoma; however, its etiology has still not been determined with precision. Therefore, we applied a consensus strategy use bioinformatics tools to prioritize genes involved in pathogenesis. Subsequently, assessed physical interactions previously selected and communality analysis protein-protein interaction...
Osteosarcoma is the most common type of primary malignant bone tumor. Although nowadays 5-year survival rates can reach up to 60-70%, acute complications and late effects osteosarcoma therapy are two limiting factors in treatments. We developed a multi-objective algorithm for repurposing new anti-osteosarcoma drugs, based on modeling molecules with described activity HOS, MG63, SAOS2, U2OS cell lines ChEMBL database. Several predictive models were obtained each line those accuracy greater...
Coronavirus Disease 2019 (COVID-19) is a severe respiratory illness caused by the RNA virus SARS-CoV-2. Globally, there have been over 759.4 million cases and 6.74 deaths, while Ecuador has reported more than 1.06 35.9 thousand deaths. To describe COVID-19 pandemic impact vaccinations effectiveness in low-income country like Ecuador, we aim to assess seroprevalence of IgG IgM antibodies against SARS-CoV-2 sample from healthy blood donors at Cruz Roja Ecuatoriana.
Sarcomas are a group of malignant neoplasms connective tissue with different etiology than carcinomas. The efforts to discover new drugs antisarcoma activity have generated large datasets multiple preclinical assays experimental conditions. For instance, the ChEMBL database contains outcomes 37,919 34,955 chemical compounds. Furthermore, conditions reported in this dataset include 157 types biological parameters, 36 drug targets, 43 cell lines, and 17 assay organisms. Considering...
ABSTRACT Background Druggable proteins are a trending topic in drug design. The druggable proteome can be defined as the percentage of that have capacity to bind an antibody or small molecule with adequate chemical properties and affinity. screening silico modeling critical activities for reduction experimental costs. Methods current work proposes unique prediction model using amino acid composition descriptors protein sequences 13 machine learning linear non-linear classifiers. After...
Preeclampsia is a hypertensive disorder that occurs during pregnancy. It complex disease with unknown pathogenesis and the leading cause of fetal maternal mortality Using all drugs currently under clinical trial for preeclampsia, we extracted their possible targets from DrugBank ChEMBL databases labeled them as "targets". The proteins "off-targets" were in same way but while taking antihypertensive which are inhibitors ACE and/or angiotensin receptor antagonist query molecules....