P26233 AF NFT

Catenin beta-1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia44he6j7j5oiibtc237zqbhsb2hypkau52g76thgy7uh3xzxjmdq/metadata.json
IPFS of structure file: 
bafybeieudxo4yxwlhq4gcmyfi72gbhjjo2tfgbp6pc2j5j3vvsy5rdsswe/AF-P26233-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x97EfFf2d74994e28D3b69b1503Bd9c292B2Df480
First NFT owner address (bech32): 
genesis1jlhl7tt5n98z35aknv2s80vu9y4jmayqa9azdg
Current NFT ID #80272 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
80272
Accession (UniProt):
P26233
Name::
Catenin beta-1
Experimental Method:
Predicted structure
Sequence source:
XENOPUS LAEVIS

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 P26233 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P26233|CTNB1_XENLA Catenin beta-1 OS=Xenopus laevis OX=8355 GN=ctnnb1 PE=1 SV=1 MATQADLMELDMAMEPDRKAAVSHWQQQSYLDSGIHSGATTTAPSLSGKGNPEDEDVDTNQVLYEWEQGFSQSFTQDQVADIDGQYAMTRAQRVRAAMFPETLDEGMQIPSTQFDSAHPTNVQRLAEPSQMLKHAVVNLINYQDDAELATRAIPELTKLLNDEDQVVVNKAAVMVHQLSKKEASRHAIMRSPQMVSAIVRTMQNTNDVETARCTAGTLHNLSHHREGLLAIFKSGGIPALVKMLGSPVDSVLFYAITTLHNLLLHQEGAKMAVRLAGGLQKMVALLNKTNVKFLAITTDCLQILAYGNQESKLIILASGGPQALVNIMRTYSYEKLLWTTSRVLKVLSVCSSNKPAIVEAGGMQALGLHLTDSSQRLVQNCLWTLRNLSDAATKQEGMEGLLGTLVQLLGSDDINVVTCAAGILSNLTCNNYKNKMMVCQVGGIEALVRTVLRAGDREDITEPAICALRHLTSRHQEAEMAQNAVRLHYGLPVVVKLLHPPSHWPLIKATVGLIRNLALCPANHAPLREQGAIPRLVQLLVRAHQDTQRRTSIGGTQQQFVEGVRMEEIVEGCTGALHILARDIHNRIVIRGLNTIPLFVQLLYSPIENIQRVAAGVLCDVAQDKEAAEAIEAEGATAPLTELLHSRNEGVATYAAAVLFRMSEDKPQDYKKRLSVELTSSLFRTEPMPWNEAADLGLDIGAQGEPLGYRQDDSSYRSFHAAGYGQDAMGMDSMMDHDMGGHHPGADYPVDGLPDLSHAQDLMDGLPPGDSNQLAWFDTDL