| Literature DB >> 28520421 |
Melissa Coates Ford1, Kerim Babaoglu1.
Abstract
The importance of engineering protein stability is well-known and has the potential to impact many fields ranging from pharmaceuticals to food sciences. Engineering proteins can be both a time-consuming and expensive experimental process. The use of computation is a potential solution to mitigating some of the time and expenses required to engineer a protein. This process has been previously hindered by inaccurate force fields or energy equations and slow computational processors; however, improved software and hardware have made this goal much more attainable. Here we find that Schrödinger's new FEP+, although still imperfect, proves more successful in predicting protein stability than other simpler methods of investigation. This increased accuracy comes at a cost of computational time and resources when compared to simpler methods. This work adds to the initial testing of FEP+ by offering options for more accurately predicting protein stability in an efficient manner.Entities:
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Year: 2017 PMID: 28520421 DOI: 10.1021/acs.jcim.7b00002
Source DB: PubMed Journal: J Chem Inf Model ISSN: 1549-9596 Impact factor: 4.956