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Predicts the Antifreeze protein. iAFP-Ense is a protector that can become a useful high-throughput software for both basic research and drug development. This random forests algorithm was adopted to conduct prediction using each descriptor features and the final result was gotten by integrating all the random forests results via voting. To obtain the predicted result with the anticipated success rate, the entire sequence of the query protein rather than its fragment should be used as an input.
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