The impact of various seed, accessibility and interaction constraints on sRNA target prediction- a systematic assessment.
Martin RadenTeresa MüllerStefan MautnerRick GelhausenRolf BackofenPublished in: BMC bioinformatics (2020)
This provides both a guide for users what is important and recommendations for existing and upcoming sRNA target prediction approaches.We show on a large sRNA target screen benchmark data set that only by altering the parameter set, IntaRNA recovers 30% more verified interactions while becoming 5-times faster. This exemplifies the potential of seed, accessibility and interaction constraints for sRNA target prediction.