Fig. 5 | Nature Communications

Fig. 5

From: A deep learning framework to predict binding preference of RNA constituents on protein surface

Fig. 5

NucleicNet predictions agree with in vivo experiments on Ago2. a Histogram of the difference in the NucleicNet score between the guide and the passenger strands from five different cell lines, namely four from human (BurroughsAM: acute monocytic leukemia THP-126, KanematsuS: colon cancer DLD27, KrellJ: colon cancer HCT11628 and ClaudiaC: T cell leukemia29) and one from mouse (LiN: neuroblastoma N2a30). Bars with positive difference values are highlighted in green else if negative in red. b Comparing the NucleicNet score with benchmark mean knockdown levels of shRNA targeting 26 genes in four different cell lines

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