Fig. 9 | Scientific Reports

Fig. 9

From: Developing angiogenesis-related prognostic biomarkers and therapeutic strategies in bladder cancer using deep learning and machine learning

Fig. 9

Screening and validation of novel anti-angiogenesis ADCs using AIDD technology. (A) Known pharmacophore receptor feature models for ADCs. (B) Homology modeling of the protein FN1’s tertiary structure and analysis of the existence of amino acid residue conformations as well as residue Chi1-Chi2 analysis. C, D Analysis of the rationality of the FN1 protein tertiary structure and Ramachandran plot of the protein model. E ADME property analysis of potential natural compounds targeting FN1 and anti-angiogenesis effects.

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