A5039718466- Computational Drug Discovery Methods
- Building Energy and Comfort Optimization
- Research on Leishmaniasis Studies
- Culinary Culture and Tourism
- Synthesis and biological activity
- HIV/AIDS drug development and treatment
- Chronic Kidney Disease and Diabetes
- Protein Structure and Dynamics
- Tuberculosis Research and Epidemiology
- Cancer therapeutics and mechanisms
- Trypanosoma species research and implications
- Academic Research in Diverse Fields
- Adenosine and Purinergic Signaling
- Graphene and Nanomaterials Applications
- Plant biochemistry and biosynthesis
- Advanced Multi-Objective Optimization Algorithms
- Parasites and Host Interactions
- Nanoparticle-Based Drug Delivery
- Antioxidant Activity and Oxidative Stress
- Digital Marketing and Social Media
- Food, Nutrition, and Cultural Practices
- Biochemical and Structural Characterization
- Enzyme Structure and Function
- Analytical Chemistry and Chromatography
- Impact of Technology on Adolescents
Universidade Federal de Juiz de Fora
2015-2025
Weatherford College
2021
Instituto de Investigaciones en Ciencias de la Salud
2021
Laboratório Nacional de Computação Científica
2006-2014
Universidade do Estado do Rio de Janeiro
2008
Abstract One variant of the ant colony optimization (ACO) metaheuristic, known as rank‐based system (RBAS), is proposed for weight minimization structures involving discrete design variables. Stress and displacements constraints are handled using a penalty technique, structural analysis performed by finite element method. Results obtained several problems show that RBAS algorithm implemented effective competitive when compared with results found genetic algorithms another variant. Copyright...
Resumo Métodos de aprendizagem máquina podem ser usados para auxiliar o projeto edifícios energeticamente eficientes, reduzindo cargas energia enquanto se mantém a temperatura interna desejada. Eles operam estimando uma resposta partir um conjunto entradas tais como geometria do edifício, propriedades material, custos projeto, condições tempo no local e impacto ambiental. Esses métodos requerem fase treinamento que considera base dados construída variáveis selecionadas domínio problema. Este...
Abstract In this study, we evaluated the in vitro and vivo schistosomicidal activities of chalcones against Schistosoma mansoni worms. assays revealed that 1 3 were most active compounds, without affecting significantly mammalian cells. Confocal laser scanning microscopy electron studies reduction on numbers tubercles morphological alterations tegument S. worms after incubation with . a mouse model schistosomiasis, oral treatment (400 mg/kg) chalcone or caused total worm burden mice....
Long-term river streamflow prediction and modeling are essential for water resource management decision-making related to resources. This research paper considers the importance of these predictions proposes a model address scarcity scenarios support in allocation, flood management, drought scenarios. Machine learning (ML) techniques offer promising alternatives improving long-term prediction. However, most existing studies on ML models have focused shorter time horizons, limiting their...
In this work, we combined molecular modeling, computational docking and in vitro analysis to explore the antileishmanial effect of some resveratrol analogs (ResAn), focusing on their pro-oxidant effect. The target was trypanothione reductase Leishmania braziliensis (LbTryR), an essential component antioxidant defenses trypanosomatid parasites. Three-dimensional structures LbTryR were modeled studies ResAn1-5 compounds showed following affinity: ResAn1 > ResAn2 ResAn4 ResAn5 ResAn3. Positive...
Schistosomiasis, caused by parasites of the genus Schistosoma, is a neglected disease with high global prevalence, affecting more than 240 million people in several countries. Praziquantel (PZQ) only drug currently available for treatment. S. mansoni NTPDases (known as SmNTPDases, ATP diphosphohydrolases or ecto-apyrases) are potential targets discovery new antischistosomal drugs. In this study, we screen inhibitors from Centella erecta (Apiaceae) using an ultrafiltration combined...
Endemic and pandemic viruses represent significant public health challenges, leading to substantial morbidity mortality over time. The COVID-19 has underscored the urgent need for development discovery of new, potent antiviral agents. In this study, we present synthesis anti-SARS-CoV-2 activity a series benzocarbazoledinones, assessed using cell-based screening assays. Our results indicate that four compounds (4a, 4b, 4d, 4i) exhibit EC50 values below 4 μM without cytotoxic effects in Calu-3...
Antimicrobial resistance is considered a health issue worldwide. This public problem underscores the importance of searching for new antimicrobial molecules with different mechanisms action. Leaf transcriptomes were used to search and develop synthetic peptides derived from mRNA sequences. The in silico AMPs L. rotundifolia alba allowed identification 120 putative peptide Eight them fitted into optimal parameters translated chemically synthesized peptides. Their biological activity was...
Schistosomiasis, a neglected tropical disease caused by Schistosoma species, harms over 250 million people in several countries. The treatment is achieved with only one drug, praziquantel. Cardamonin, natural chalcone vitro schistosomicidal activity, has not been vivo evaluated against Schistosoma. In this work, we the activities of cardamonin mansoni worms and conducted enzymatic apyrase inhibition assay, as well molecular docking analysis potato apyrase, S. NTPDase 1 2. mouse model...
About half of all cancer chemotherapies currently applied involve medication with the three worldwide approved Pt(II)-based drugs, cisplatin (cddp), carboplatin (cpx), and oxaliplatin (oxa), due to their notable antitumor activity for several cancers. However, this wide application is accompanied by severe side effects, such as nephrotoxicity, myelosuppression, neurotoxicity, a result low bioavailability selectivity cells. To mitigate these drawbacks, use chemically functionalized carbon...
Tomato (Solanum lycopersicum) is the second most produced and consumed vegetable in world. It has been indicated prevention treatment of cancer, asthma atherosclerosis. Blood constituents labeled with radionuclides have used procedures nuclear medicine. Data shown that food drugs can alter labeling blood technetium-99m (99mTc). This study evaluated influence a tomato extract on this radiolabeling procedure. Heparinized (Wistar rats) was incubated vitro different concentrations 99mTc-labeling...
Analysis of molecular dynamic (MD) simulation has been difficult since this method generates a lot conformations. Thus clustering algorithms have applied to group similar structures from MD simulations, but the choice information be clustered is still challenge. In work, we propose use Euclidean distance matrices (EDM) conformations as input data algorithms. We used approaches combining non-reduction or reduction dimensionality (MDS and isomap methods), different (k-means, ward, mean-shift...
Mutation in the ethionamide (ETH) activating enzyme, EthA, is main factor determining resistance to this drug, used treat TB patients infected with MDR and XDR Mycobacterium tuberculosis isolates. Many mutations EthA of ETH resistant (ETH-R) isolates have been described but their roles remain uncharacterized, partly because structural studies on enzyme are lacking. Thus, we took a two-tier approach evaluate two (Y50C T453I) found ETH-R clinical First, combination comparative modeling,...
EST (Expressed Sequence Tags) databases are increasing in number and size, especially regarding cultivated plants. Sugarcane is one of the most important tropical subtropical crops, presenting a complex polyploid genome hybrid origin, bearing challenge for understanding genetic processes higher In present work general search was carried out on largest Database (SUCEST) that includes 237,954 ESTs aiming to identify defensin antimicrobial peptides – class small, basic, cysteine-rich...
Penalty methods are often used to handle constraints in optimization problems. However, find the optimal or near set of penalty parameters is a hard task. Also, such values problem dependent. This paper introduces stochastic ranking approach balance objective and functions stochastically rank-based ACO metaheuristic. The results presented show that simple inclusion procedure leads an improved search performance, with respect standard technique, when applied discrete structural problems
Interactions between carbon nanohorns loaded with cisplatin molecules and membranes of cancerous normal cells referring to a human breast are reported.