Publication

Martin EC, Spiridon L, Goverse A, Petrescu AJ. (2022) NLRexpress - a bundle of machine learning motif predictors - reveals motif stability underlying plant NLRs diversity. Front. Plant Sci. doi: 10.3389/fpls.2022.975888. https://www.frontiersin.org/articles/10.3389/fpls.2022.975888

GitHub

Download the standlalone version of NLRexpress

Quick guide

Input form

Input form

Results page

Results page

Download datasets

The trained NN models for each NLRexpress predictor
73 MB (93 MB untarred)
models.tar.gz
The input files used for training the predictors of each the CC, NBS and LRR module :
38 MB (191 MB untarred)
training_sets.tar.gz
Additional benchmarking tests (input files) :
  • PDB LRR domains dataset
  • Non-LRR solenoid architecturs (4 datasets): ankyrin, trimeric, pectate lyases, armadillo
  • LRR-containing immune receptors (6 datasets): plant CNL, TNL, RLK, RLP; metazoan NLR and TLR
154 MB (901 MB untarred)
benchmark_sets.tar.gz