SoluProt: prediction of soluble protein expression in Escherichia coli

SoluProt: prediction of soluble protein expression in Escherichia coli

Software

A new tool for sequence-based prediction of soluble protein expression in Escherichia coli, SoluProt, was created using the gradient boosting machine technique with the TargetTrack database as a training set. When evaluated against a balanced independent test set derived from the NESG database, SoluProts accuracy of 58.4% and AUC of 0.60 exceeded those of a suite of alternative solubility prediction tools. There is also evidence that it could significantly increase the success rate of experimental protein studies. SoluProt is freely available as a standalone program and a user-friendly webserver at https://loschmidt.chemi.muni.cz/soluprot/.

A new tool for sequence-based prediction of soluble protein expression in Escherichia coli, SoluProt, was created using the gradient boosting machine technique with the TargetTrack database as a training set. When evaluated against a balanced independent test set derived from the NESG database, SoluProts accuracy of 58.4% and AUC of 0.60 exceeded those of a suite of alternative solubility prediction tools. There is also evidence that it could significantly increase the success rate of experimental protein studies. SoluProt is freely available as a standalone program and a user-friendly webserver at https://loschmidt.chemi.muni.cz/soluprot/.

protein solubility, machine-learning

protein solubility, machine-learning

https://loschmidt.chemi.muni.cz/soluprot/

Využití výsledku jiným subjektem je v některých případech možné bez nabytí licence

https://loschmidt.chemi.muni.cz/soluprot/