PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility

Chao Fan, Diwei Liu, Rui Huang, Zhigang Chen, Lei Deng

BMC Bioinformatics · 2016 · 49 citations · 54 references

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Abstract

Our experimental results show that the Gradient Boosted Regression Trees algorithm and the novel feature combination are quite effective in relative solvent accessibility prediction. The proposed PredRSA method could be useful in assisting the prediction of protein structures by applying the predicted RSA as useful restraints.

References

54