MAFA and MAFB are related basic-leucine-zipper domain containing transcription factors which have important regulatory roles in a variety of cellular contexts, including pancreatic islet hormone producing α and β cells. These proteins have similar as well as distinct functional properties, and here we first used AlphaFold2, an artificial intelligence-based structural prediction program, to obtain insight into the three-dimensional organization of their non-DNA binding/dimerization sequences. This analysis was conducted on the wildtype (WT) proteins as well the pathogenic MAFA Ser64Phe (MAFA S64F ) and MAFB Ser70Ala (MAFB S70A ) mutants, with structural differences revealed between MAFA WT and MAFB WT in addition to MAFA S64F and MAFA WT , but not MAFB S70A and MAFB WT . Functional analysis disclosed that the inability to properly phosphorylate at S70 in MAFB S70A , like S65 in MAFA S64F , greatly increased protein stability and enabled MAFB S70A to accelerate cellular senescence in cultured cells. Significant differences were also observed in the ability of MAFA, MAFA S64F , MAFB, and MAFB S70A to cooperatively stimulate Insulin enhancer-driven activity in the presence of other islet-enriched transcription factors. Experiments performed on protein chimeras disclosed that these properties were greatly influenced by structural differences found between the WT and mutant proteins. In general, these results revealed that AlphaFold2 predicts features essential to protein activity.