pone.0283567.g004.tif (3.09 MB)
Download filePrediction scores graphs: Prediction performance of the developed models on aromatase and non-aromatase proteins.
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posted on 2023-03-29, 17:31 authored by Muthu Krishnan Selvaraj, Jasmeet KaurA) Amino acid composition based approach (AAC), B) Dipeptide composition based approach (DPC), C) Hybrid profile based approach (AAC+DPC) and D) PSSM profile based approach.
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specific scoring matrixprediction scores graphsmicrosomal cytochrome p450breast cancer therapy42 %, 8405 %, 85different svm approachhuman aromatase enzymegeneration aromatase inhibitorsprimary sequence datamachine learning methoddiv >< pdevelop efficacious aisrelated proteins usingrelated proteinsprimary sequence12 %,approach describedbuilt usingpredicting aromataseidentify aromatasepssm );maximum accuracyknown datasethighly accurateevolutionary profilesdipeptide compositiondeveloped usingcurrent aiscomputational methodcatalyzes aromatization
