Computational protein design searches or generates amino-acid sequences for a target structure, binding interaction or biological function. Modern systems can use physical simulation, optimization, machine learning and generative models.
A predicted sequence is a candidate rather than a finished biological product. Researchers must synthesize and test proteins experimentally because folding, stability, expression and function can differ from computational predictions.
Acronyms and aliases
in silico protein design synonymprotein design modeling synonym
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Frequently asked questions
What can computational protein design create?
It can propose candidates for enzymes, binders, therapeutic proteins, sensors and other designed biological functions.
Why must designed proteins be tested in a laboratory?
