An artificial life model for predicting the tertiary structure of unknown proteins that emulates the folding process

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Abstract

We present an "ab initio" method that tries to determine the tertiary structure of unknown proteins by modelling the folding process without using potentials extracted from known protein structures. We have been able to obtain appropriate matrices of folding potentials, i.e. ‘forces’ able to drive the folding process to produce correct tertiary structures, using a genetic algoritlun. Some initial simulations that try to simulate the folding process of a fragment of the crambin that results in an alpha-helix, have yielded good results. We discuss some general implications of an Artificial Life approach to protein folding which makes an attempt at simulating the actual folding process rather than just trying to predict its final result.

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Calabretta, R., Nolfi, S., & Parisi, D. (1995). An artificial life model for predicting the tertiary structure of unknown proteins that emulates the folding process. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 929, pp. 862–875). Springer Verlag. https://doi.org/10.1007/3-540-59496-5_349

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