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Combined molecular dynamics and neural network method for predicting protein antifreeze activity
Antifreeze proteins (AFPs) are a diverse class of proteins that depress the kinetically observable freezing point of water. AFPs have been of scientific interest for decades, but the lack of an accurate model for predicting AFP activity has hindered the logical design of novel antifreeze systems. To...
Gorde:
| Argitaratua izan da: | Proc Natl Acad Sci U S A |
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| Egile Nagusiak: | , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
National Academy of Sciences
2018
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6310784/ https://ncbi.nlm.nih.gov/pubmed/30530650 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1814945115 |
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