Learning structural bioinformatics and evolution with a snake puzzle
We propose here a working unit for teaching basic concepts of structural bioinformatics and evolution through the example of a wooden snake puzzle, strikingly similar to toy models widely used in the literature of protein folding. In our experience, developed at a Master’s course at the Universidad...
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doaj-d3ea52ca6b334b3c87d12f80a0f16c312020-11-24T21:26:02ZengPeerJ Inc.PeerJ Computer Science2376-59922016-12-012e10010.7717/peerj-cs.100Learning structural bioinformatics and evolution with a snake puzzleGonzalo S. Nido0Ludovica Bachschmid-Romano1Ugo Bastolla2Alberto Pascual-García3Department of Neurology, Bergen University, Bergen, NorwayDepartment of Artificial Inteligence, Technische Universität Berlin, Berlin, GermanyCentro de Biología Molecular “Severo Ochoa,” Universidad Autónoma de Madrid, Madrid, SpainCentro de Biología Molecular “Severo Ochoa,” Universidad Autónoma de Madrid, Madrid, SpainWe propose here a working unit for teaching basic concepts of structural bioinformatics and evolution through the example of a wooden snake puzzle, strikingly similar to toy models widely used in the literature of protein folding. In our experience, developed at a Master’s course at the Universidad Autónoma de Madrid (Spain), the concreteness of this example helps to overcome difficulties caused by the interdisciplinary nature of this field and its high level of abstraction, in particular for students coming from traditional disciplines. The puzzle will allow us discussing a simple algorithm for finding folded solutions, through which we will introduce the concept of the configuration space and the contact matrix representation. This is a central tool for comparing protein structures, for studying simple models of protein energetics, and even for a qualitative discussion of folding kinetics, through the concept of the Contact Order. It also allows a simple representation of misfolded conformations and their free energy. These concepts will motivate evolutionary questions, which we will address by simulating a structurally constrained model of protein evolution, again modelled on the snake puzzle. In this way, we can discuss the analogy between evolutionary concepts and statistical mechanics that facilitates the understanding of both concepts. The proposed examples and literature are accessible, and we provide supplementary material (see ‘Data Availability’) to reproduce the numerical experiments. We also suggest possible directions to expand the unit. We hope that this work will further stimulate the adoption of games in teaching practice.https://peerj.com/articles/cs-100.pdfStructural bioinformaticsEducationProtein foldingStatistical mechanicsContact matrixProtein structure alignment |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gonzalo S. Nido Ludovica Bachschmid-Romano Ugo Bastolla Alberto Pascual-García |
spellingShingle |
Gonzalo S. Nido Ludovica Bachschmid-Romano Ugo Bastolla Alberto Pascual-García Learning structural bioinformatics and evolution with a snake puzzle PeerJ Computer Science Structural bioinformatics Education Protein folding Statistical mechanics Contact matrix Protein structure alignment |
author_facet |
Gonzalo S. Nido Ludovica Bachschmid-Romano Ugo Bastolla Alberto Pascual-García |
author_sort |
Gonzalo S. Nido |
title |
Learning structural bioinformatics and evolution with a snake puzzle |
title_short |
Learning structural bioinformatics and evolution with a snake puzzle |
title_full |
Learning structural bioinformatics and evolution with a snake puzzle |
title_fullStr |
Learning structural bioinformatics and evolution with a snake puzzle |
title_full_unstemmed |
Learning structural bioinformatics and evolution with a snake puzzle |
title_sort |
learning structural bioinformatics and evolution with a snake puzzle |
publisher |
PeerJ Inc. |
series |
PeerJ Computer Science |
issn |
2376-5992 |
publishDate |
2016-12-01 |
description |
We propose here a working unit for teaching basic concepts of structural bioinformatics and evolution through the example of a wooden snake puzzle, strikingly similar to toy models widely used in the literature of protein folding. In our experience, developed at a Master’s course at the Universidad Autónoma de Madrid (Spain), the concreteness of this example helps to overcome difficulties caused by the interdisciplinary nature of this field and its high level of abstraction, in particular for students coming from traditional disciplines. The puzzle will allow us discussing a simple algorithm for finding folded solutions, through which we will introduce the concept of the configuration space and the contact matrix representation. This is a central tool for comparing protein structures, for studying simple models of protein energetics, and even for a qualitative discussion of folding kinetics, through the concept of the Contact Order. It also allows a simple representation of misfolded conformations and their free energy. These concepts will motivate evolutionary questions, which we will address by simulating a structurally constrained model of protein evolution, again modelled on the snake puzzle. In this way, we can discuss the analogy between evolutionary concepts and statistical mechanics that facilitates the understanding of both concepts. The proposed examples and literature are accessible, and we provide supplementary material (see ‘Data Availability’) to reproduce the numerical experiments. We also suggest possible directions to expand the unit. We hope that this work will further stimulate the adoption of games in teaching practice. |
topic |
Structural bioinformatics Education Protein folding Statistical mechanics Contact matrix Protein structure alignment |
url |
https://peerj.com/articles/cs-100.pdf |
work_keys_str_mv |
AT gonzalosnido learningstructuralbioinformaticsandevolutionwithasnakepuzzle AT ludovicabachschmidromano learningstructuralbioinformaticsandevolutionwithasnakepuzzle AT ugobastolla learningstructuralbioinformaticsandevolutionwithasnakepuzzle AT albertopascualgarcia learningstructuralbioinformaticsandevolutionwithasnakepuzzle |
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