Publications by authors named "Rodrigo Cossio-Perez"

Motivation: Automated machine learning (AutoML) solutions can bridge the gap between new computational advances and their real-world applications by enabling experimental scientists to build their own custom models. We examine different steps in the development life-cycle of peptide bioactivity binary predictors and identify key steps where automation cannot only result in a more accessible method, but also more robust and interpretable evaluation leading to more trustworthy models.

Results: We present a new automated method for drawing negative peptides that achieves better balance between specificity and generalization than current alternatives.

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Article Synopsis
  • The enzyme UDP-galactopyranose mutase (UGM) is a potential target for drugs aimed at treating infections caused by Trypanosoma cruzi.
  • Researchers used Umbrella Sampling simulations to analyze how UDP-galactopyranose is released from UGM, uncovering key conformational changes in both the substrate and enzyme.
  • They discovered that the galactopyranose part of the substrate is very mobile and that the active site undergoes a multi-stage opening/closing process, revealing uncharacterized interactions with important conserved residues, aiding drug design.
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Background: Thiazolidinone derivatives show inhibitory activity (IC) against the Toxoplasma gondii parasite, as well as high selectivity with high therapeutic index. To disclose the target proteins of the thiazolidinone core in this parasite, we explored in silico the active sites of different T. gondii proteins and estimated the binding-free energy of reported thiazolidinone molecules with inhibitory effect on invasion and replication of the parasite inside host cells.

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We performed a homology modeling of the structure of a non-mutated and mutated Ser83→Phe DNA gyrase of Porphyromonas gingivalis. The model presented structural features conserved in type II topoisomerase proteins. We designed and evaluated in silico structural modifications to the core of Moxifloxacin by molecular docking, predicted toxicity and steered molecular dynamics simulations (SMD).

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Galactose is an abundant monosaccharide found exclusively in mammals as galactopyranose (Gal p), the six-membered ring form of this sugar. In contrast, galactose appears in many pathogenic microorganisms as the five-membered ring form, galactofuranose (Gal f). Gal f biosynthesis begins with the conversion of UDP-Gal p to UDP-Gal f catalyzed by the flavoenzyme UDP-galactopyranose mutase (UGM).

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Principal component analysis is a technique widely used for studying the movements of proteins using data collected from molecular dynamics simulations. In spite of its extensive use, the technique has a serious drawback: equivalent simulations do not afford the same PC-modes. In this article, we show that concatenating equivalent trajectories and calculating the PC-modes from the concatenated one significantly enhances the reproducibility of the results.

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Article Synopsis
  • UDP-Galactopyranose Mutase (UGM) converts galactopyranose to galactofuranose and is essential for the survival of certain pathogens like Trypanosoma cruzi, which causes Chagas' disease.
  • UGM is absent in mammals, making it a potential target for drug development.
  • This article details a study using QM/MM free energy calculations to explore the reaction mechanism, examining structural changes and interactions throughout the process.
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