F1QGH7 AF NFT

Catenin beta-1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicl4ipvg2xhfdyhvewf3byxeez7fmvoy66cr4dhdj6dmqyyaucvme/metadata.json
IPFS of structure file: 
bafybeicurpgt3ctl554ii76qixq37e7emwcyreprel4ux6se6q7mhey2xa/AF-F1QGH7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x35612D34a32C306CA4fc1edA9360D1F717e25950
First NFT owner address (bech32): 
genesis1x4sj6d9r9scxef8urmdfxcx37ut7yk2swrdlap
Current NFT ID #80268 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
80268
Accession (UniProt):
F1QGH7
Name::
Catenin beta-1
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT F1QGH7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|F1QGH7|CTNB1_DANRE Catenin beta-1 OS=Danio rerio OX=7955 GN=ctnnb1 PE=1 SV=1 MATQSDLMELEMAMDPDRKAAVSHWQQQSYLDSGIHSGATTTAPSLSGKGNPEDDDVDNQVLYEWEQGFNQSFNQEQVADIDGQYAMTRAQRVRAAMFPETLDEGMQIPSTQFDSAHPTNVQRLAEPSQMLKHAVVNLINYQDDAELATRAIPELTKLLNDEDQVVVNKAAVMVHQLSKKEASRHAIMRSPQMVSAIVRTMQNTNDVETARCTSGTLHNLSHHREGLLAIFKSGGIPALVKMLGSPVDSVLFYAITTLHNLLLHQEGAKMAVRLAGGLQKMVALLNKTNVKFLAITTDCLQILAYGNQESKLIILASGGPQALVNIMRTYTYEKLLWTTSRVLKVLSVCSSNKPAIVEAGGMQALGLHLTDPSQRLVQNCLWTLRNLSDAATKQEGMEGLLGTLVQLLGSDDINVVTCAAGILSNLTCNNYKNKMMVCQVGGIEALVRTVLRAGDREDITEPAICALRHLTSRHQDAEMAQNAVRLHYGLPVVVKLLHPPSHWPLIKATVGLIRNLALCPANHAPLREQGAIPRLVQLLVRAHQDTQRRTSMGGTQQQFVEGVRMEEIVEGCTGALHILARDIHNRIVIRGLNTIPLFVQLLYSPIENIQRVAAGVLCELAQDKEAAEAIEAEGATAPLTELLHSRNEGVATYAAAVLFRMSEDKPQDYKKRLSVELTSSLFRTEPMTWNETGDLGLDIGAQGEPLGYRQDDPSYRSFHSGGYGQDAMGMDPMMEHEMAGHHPGPDYPVDGLPDLGHTQDLIDGLPPGDSNQLAWFDTDL