Prediction of DNA-binding residues in proteins from amino acid sequences using a random forest model with a hybrid feature

Prediction of RNA-binding residues in pr

Prediction of RNA-binding residues in proteins from primary sequence using an enriched random forest model with a novel hybrid feature

✍ Xin Ma; Jing Guo; Jiansheng Wu; Hongde Liu; Jiafeng Yu; Jianming Xie; Xiao Sun 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 332 KB

## Abstract The identification of RNA‐binding residues in proteins is important in several areas such as protein function, posttranscriptional regulation and drug design. We have developed PRBR (Prediction of RNA Binding Residues), a novel method for identifying RNA‐binding residues from amino acid