Search Results - "Walter Filgueira de Azevedo Jr"
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Application of Machine Learning Techniques to Predict Binding Affinity for Drug Targets: A Study of Cyclin-Dependent Kinase 2
Published in Current medicinal chemistry (01-01-2021)“…The elucidation of the structure of cyclin-dependent kinase 2 (CDK2) made it possible to develop targeted scoring functions for virtual screening aimed to…”
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SAnDReS 2.0: Development of machine-learning models to explore the scoring function space
Published in Journal of computational chemistry (15-10-2024)“…Classical scoring functions may exhibit low accuracy in determining ligand binding affinity for proteins. The availability of both protein-ligand structures…”
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Understanding the Structural Basis for Inhibition of Cyclin-Dependent Kinases. New Pieces in the Molecular Puzzle
Published in Current drug targets (01-07-2017)“…Cyclin-dependent kinases (CDKs) comprise an important protein family for development of drugs, mostly aimed for use in treatment of cancer but there is also…”
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Taba: A Tool to Analyze the Binding Affinity
Published in Journal of computational chemistry (05-01-2020)“…Evaluation of ligand‐binding affinity using the atomic coordinates of a protein‐ligand complex is a challenge from the computational point of view. The…”
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Development of machine learning models to predict inhibition of 3‐dehydroquinate dehydratase
Published in Chemical biology & drug design (01-08-2018)“…In this study, we describe the development of new machine learning models to predict inhibition of the enzyme 3‐dehydroquinate dehydratase (DHQD). This enzyme…”
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Optimized Virtual Screening Workflow: Towards Target-Based Polynomial Scoring Functions for HIV-1 Protease
Published in Combinatorial chemistry & high throughput screening (01-01-2017)“…One key step in the development of inhibitors for an enzyme is the application of computational methodologies to predict protein-ligand interactions. The…”
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Interaction of copper potential metallodrugs with TMPRSS2: A comparative study of docking tools and its implications on COVID-19
Published in Frontiers in chemistry (26-01-2023)“…SARS-CoV-2 is the virus responsible for the COVID-19 pandemic. For the virus to enter the host cell, its spike (S) protein binds to the ACE2 receptor, and the…”
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Structure of shikimate kinase from Mycobacterium tuberculosis reveals the binding of shikimic acid
Published in Acta crystallographica. Section D, Biological crystallography. (01-12-2004)“…Tuberculosis made a resurgence in the mid‐1980s and now kills approximately 3 million people a year. The re‐emergence of tuberculosis as a public health…”
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Crystallization and preliminary X-ray diffraction analysis of an anti-H(O) lectin from Lotus tetragonolobus seeds
Published in Acta crystallographica. Section F, Structural biology and crystallization communications (01-07-2006)“…The seed lectin from Lotus tetragonolobus (LTA) has been crystallized. The best crystals grew over several days and were obtained using the vapour‐diffusion…”
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Structure of human PNP complexed with ligands
Published in Acta crystallographica. Section D, Biological crystallography. (01-07-2005)“…Purine nucleoside phosphorylase (PNP) is a key enzyme in the purine‐salvage pathway, which allows cells to utilize preformed bases and nucleosides in order to…”
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New crystal forms of Diocleinae lectins in the presence of different dimannosides
Published in Acta crystallographica. Section F, Structural biology and crystallization communications (01-11-2006)“…Studying the interactions between lectins and sugars is important in order to explain the differences observed in the biological activities presented by the…”
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Crystallization and preliminary X-ray diffraction analysis of prephenate dehydratase from Mycobacterium tuberculosis H37Rv
Published in Acta crystallographica. Section F, Structural biology and crystallization communications (01-04-2006)“…Tuberculosis remains the leading cause of mortality arising from a bacterial pathogen (Mycobacterium tuberculosis). There is an urgent need for the development…”
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Structural studies of prephenate dehydratase from Mycobacterium tuberculosis H37Rv by SAXS, ultracentrifugation, and computational analysis
Published in Proteins, structure, function, and bioinformatics (01-09-2008)“…Tuberculosis (TB) is one of the most common infectious diseases known to man and responsible for millions of human deaths in the world. The increasing…”
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Crystallization and preliminary X-ray diffraction analysis of a lectin from Canavalia maritima seeds
Published in Acta crystallographica. Section F, Structural biology and crystallization communications (01-01-2005)“…A lectin from Canavalia maritima seeds (ConM) was purified and submitted to crystallization experiments. The best crystals were obtained using the…”
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Structural bioinformatics study of PNP from Schistosoma mansoni
Published in Biochemical and biophysical research communications (10-09-2004)“…The parasite Schistosoma mansoni lacks the de novo pathway for purine biosynthesis and depends on salvage pathways for its purine requirements. Schistosomiasis…”
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Molecular modeling and dynamics studies of purine nucleoside phosphorylase from Bacteroides fragilis
Published in Journal of molecular modeling (01-08-2009)“…Purine nucleoside phosphorylase (PNP) catalyzes the reversible phosphorolysis of N -ribosidic bonds of purine nucleosides and deoxynucleosides, except…”
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Effects of the magnesium and chloride ions and shikimate on the structure of shikimate kinase from Mycobacterium tuberculosis
Published in Acta crystallographica. Section F, Structural biology and crystallization communications (01-01-2007)“…Bacteria, fungi and plants can convert carbohydrate and phosphoenolpyruvate into chorismate, which is the precursor of various aromatic compounds. The seven…”
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Crystallization and preliminary X-ray crystallographic analysis of chorismate synthase from Mycobacterium tuberculosis
Published in Acta crystallographica. Section D, Biological crystallography. (01-11-2004)“…The enzymes of the shikimate pathway are potential targets for the development of new therapies because they are essential for bacteria but absent from…”
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Supervised machine learning techniques to predict binding affinity. A study for cyclin-dependent kinase 2
Published in Biochemical and biophysical research communications (09-12-2017)“…Here we report the development of a machine-learning model to predict binding affinity based on the crystallographic structures of protein-ligand complexes. We…”
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Application of Machine Learning Techniques for Drug Discovery
Published in Current medicinal chemistry (01-01-2021)Get more information
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