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Prediction of biochemical reactions catalyzed by enzymes in humans

in Algorithms/Drug Discovery/Machine Learning by

There are many biological important enzymes which exist in the human body, one of them is Cytochrome P450 (CyP450) enzymes which are mostly considered in drug discovery due to their involvement in the majority (75%) of drug metabolism [1]. Therefore, various in-silico methods have been applied to predict the possible substrates of CyP 450 enzymes [2-4]. Recently, an in-silico model has been developed to predict the potential chemical reactions mediated by the enzymes present in humans including CyP450 enzymes [5]. Continue reading “Prediction of biochemical reactions catalyzed by enzymes in humans” »

A new high-level Python interface for MD simulation using GROMACS

in Algorithms/Bioinformatics News/Molecular dynamics/Softwares/Tools by

The roots of the molecular simulation application can be traced back to physics where it was applied to simplified hard-sphere systems [1]. This field of molecular simulation study has gained a lot of interest since then and applied to perform simulations to fold small protein at multi-microsecond scale [2-4], predict functional properties of receptors and to capture the intermediate transitions of the complex [5], and to study the movement and behavior of ligand in a binding pocket and also to predict interactions between receptors and ligands [6,7]. Continue reading “A new high-level Python interface for MD simulation using GROMACS” »

Machine learning in prediction of ageing-related genes/proteins

in Algorithms/Databases/Machine Learning by

Ageing has a great impact on human health, when people’s age advance towards 80 years, approximately half of the proteins in the body get damaged through oxidation. The chemical degradations occurring in our body produce energy by the consumed food via oxidation in the presence of oxygen. Continue reading “Machine learning in prediction of ageing-related genes/proteins” »

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