Abstract
An important objective of computational protein design is to identify amino acid sequences that stably fold into a given backbone structure. A general approach to this problem is to minimize an energy function in the sequence space. We have previously reported a method to derive statistical energies for fixed-backbone protein design and showed that it led to de novo proteins that fold as expected. Here, we present the usage of the program that implements this method, which we now name as ABACUS (A Backbone-based Amino aCid Usage Survey).
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Acknowledgments
This work has been supported by Chinese Ministry of Science and Technology (2011CBA00803 to Q.C. and 2012AA02A704 to H.L.) and National Natural Science Foundation of China (31200546 to Q.C. and 31370755 to H.L.).
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Xiong, P., Chen, Q., Liu, H. (2017). Computational Protein Design Under a Given Backbone Structure with the ABACUS Statistical Energy Function. In: Samish, I. (eds) Computational Protein Design. Methods in Molecular Biology, vol 1529. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6637-0_10
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DOI: https://doi.org/10.1007/978-1-4939-6637-0_10
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