Molecular modelling | EPFL Graph Search

Molecular modelling encompasses all methods, theoretical and computational, used to model or mimic the behaviour of molecules. The methods are used in the fields of computational chemistry, drug design, computational biology and materials science to study molecular systems ranging from small chemical systems to large biological molecules and material assemblies. The simplest calculations can be performed by hand, but inevitably computers are required to perform molecular modelling of any reasonably sized system. The common feature of molecular modelling methods is the atomistic level description of the molecular systems. This may include treating atoms as the smallest individual unit (a molecular mechanics approach), or explicitly modelling protons and neutrons with its quarks, anti-quarks and gluons and electrons with its photons (a quantum chemistry approach). Molecular mechanics Molecular mechanics is one aspect of molecular modelling, as it involves the use of classic

The Chemistry of Neurodegeneration: Kinetic Data and Their Implications

Matej Repic

We collected experimental kinetic rate constants for chemical processes responsible for the development and progress of neurodegeneration, focused on the enzymatic and non-enzymatic degradation of amine neurotransmitters and their reactive and neurotoxic metabolites. A gross scheme of neurodegeneration on the molecular level is based on two pathways. Firstly, reactive species oxidise heavy atom ions, which enhances the interaction with alpha-synuclein, thus promoting its folding to the beta form and giving rise to insoluble amyloid plaques. The latter prevents the function of vesicular transport leading to gradual neuronal death. In the second pathway, radical species, OH center dot in particular, react with the methylene groups of the apolar part of the lipid bilayer of either the cell or mitochondrial wall, resulting in membrane leakage followed by dyshomeostasis, loss of resting potential and neuron death. Unlike all other central neural system (CNS)-relevant biogenic amines, dopamine and noradrenaline are capable of a non-enzymatic auto-oxidative reaction, which produces hydrogen peroxide. This reaction is not limited to the mitochondrial membrane where scavenging enzymes, such as catalase, are located. On the other hand, dopamine and its metabolites, such as dopamine-o-quinone, dopaminechrome, 5,6-dihydroxyindole and indo-5,6-quinone, also interact directly with alpha-synuclein and reversibly inhibit plaque formation. We consider the role of the heavy metal ions, selected scavengers and scavenging enzymes, and discuss the relevance of certain foods and food supplements, including curcumin, garlic, N-acetyl cysteine, caffeine and red wine, as well as the long-term administration of non-steroid anti-inflammatory drugs and occasional tobacco smoking, that could all act toward preventing neurodegeneration. The current analysis can be employed in developing strategies for the prevention and treatment of neurodegeneration, and, hopefully, aid in the building of an overall kinetic molecular model of neurodegeneration itself.

Humana Press Inc2016

Modeling and Engineering Proteins Thermostability

Hasan Pezeshgi Modarres

Enzymes have evolved during millions of years to become efficient catalysts for specific biochemical reactions within a specific range of working conditions in the cellular environment. The activity of an enzyme is directly related to its folded structure and even slight changes in its 3D conformation may cause irreversible, negative effects on its activity. The structure of enzymes are very sensitive to the environmental conditions and changes from their optimal conditions, like higher temperature, salt concentration, and pH, might result in denaturation and subsequently inactivation. In the past decades, natural enzymes extracted from different organisms have found a wide range of applications in the industrial and biotechnological setting. For the majority of the applications their activity at high temperatures is more favorable, however enzymes have evolved, in most of the cases, to optimally work in limited range of temperature of their native cellular environment. Therefore, enhancing enzyme thermostability will not only increase their application range, but could also shed light into new aspects of their evolution and chemical activity. The physical chemical principles underlying enzymatic thermostability are keys in fact to understand the way evolution has shaped proteins to adapt to a broad range of temperatures. Understanding the molecular determinants at the basis of protein thermostability, using both in silico methods and in vitro experiments, is also an important way for engineering more thermo-resistant enzymes to be used in the industrial setting, as for instance DNA ligases, which are important for DNA replication and repair and have been long used in molecular biology and biotechnology. In this thesis I used in silico techniques, like molecular modeling and simulation coupled with bioinformatics analyses, to assess existing methods and predict potential thermo-stabilizing mutations for target proteins. First, I studied a thermophilic protein and after exploring the origins of its thermostability I proposed mutations to further increase its thermostability. Then, I took advantage of what learned from this study to explore further thermostability engineering methods in order to develop faster, accurate, and easy-to-use methods that can be generally used for a broad array of proteins. 1. Understanding and engineering thermostability in the DNA ligase from Thermococcus sp. 1519 (LigTh1519). In this thesis, I first addressed the origin of thermostability in the thermophilic DNA ligase from archaeon Thermococcus sp. 1519, and identified thermo-sensitive regions using molecular modeling and simulations. In addition, I predicted mutations that can enhance thermostability of the enzyme through bioinformatics analyses. I showed that thermo-sensitive regions of this enzyme are stabilized at higher temperatures by optimization of charged groups on the surface, and predicted that thermostability can be further increased by further optimization of the network among these charged groups. Engineering this DNA ligase by introducing selected mutations (i.e., A287K, G304D, S364I and A387K) produced eventually a significant and additive increase in the half-life time of the enzyme when compared to the wild-type. Then, based on what I learned from thermostability analyses and improvement of LigTh1519, my aim was to design a general-purpose protein thermostability engineering protocol that can enable thermostability engineering [...]

EPFL2015

Using PyMOL as a platform for computational drug design

Zhenquan Hu, Shuguang Yuan

PyMOL, a cross-platform molecular graphics tool, has been widely used for three-dimensional (3D) visualization of proteins, nucleic acids, small molecules, electron densities, surfaces, and trajectories. It is also capable of editing molecules, ray tracing, and making movies. This Python-based software, alongside many Python plugin tools, has been developed to enhance its utilities and facilitate the drug design in PyMOL. To gain an insightful view of useful drug design tools and their functions in PyMOL, we present an extensive discussion on various molecular modeling modules in PyMOL, covering those for visualization and analysis enhancement, protein-ligand modeling, molecular simulations, and drug screening. This review provides an excellent introduction to present 3D structures visualization and computational drug design in PyMOL. (C) 2017 John Wiley & Sons, Ltd

Wiley2017