Abstract

The formation of protein homodimer complexes for molecular catalysis and regulation is fascinating. The homodimer formation through 2S (2 state), 3SMI (3 state with monomer intermediate) and 3SDI (3 state with dimer intermediate) folding mechanism is known for 47 homodimer structures. Our dataset of forty-seven homodimers consists of twenty-eight 2S, twelve 3SMI and seven 3SDI. The dataset is characterized using monomer length, interface area and interface/total (I/T) residue ratio. It is found that 2S are often small in size with large I/T ratio and 3SDI are frequently large in size with small I/T ratio. Nonetheless, 3SMI have a mixture of these features. Hence, we used these parameters to develop a decision tree model. The decision tree model produced positive predictive values (PPV) of 72% for 2S, 58% for 3SMI and 57% for 3SDI in cross validation. Thus, the method finds application in assigning homodimers with folding mechanism.

Highlights

  • Homodimers play an important role in catalysis and regulation

  • No attempt has been made to predict their folding mechanism given their structures in complex state

  • We extended the application of the decision tree model to a dataset of 149 homodimers with no folding data known

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Summary

Introduction

Homodimers play an important role in catalysis and regulation. The formation of homodimer interface is structurally intriguing [1]. Structures for 47 homodimers with known folding information are available as given in Table 1 (supplementary material) [2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46]. We use these parameters to design a decision tree model to classify homodimer structures with unknown folding mechanism

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