P37842 AF NFT

Multicystatin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidkj6etb7etiatkrmd3nw4ca2476a2fd7oqqdvoaxxq4jsvs5gf2y/metadata.json
IPFS of structure file: 
bafybeidlpdvmoqfgxzcrkvkfrpbcq4axkrf6mxcgilpkkgl3pyfb7rr6sq/AF-P37842-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd91633319BDB0a92cbC4f08DeA734Bf74C030064
First NFT owner address (bech32): 
genesis1mytrxvvmmv9f9j7y7zx75u6t7axqxqry8u4g92
Current NFT ID #86712 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
86712
Accession (UniProt):
P37842
Name::
Multicystatin
Experimental Method:
Predicted structure
Sequence source:
SOLANUM TUBEROSUM

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 P37842 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P37842|CYTM_SOLTU Multicystatin OS=Solanum tuberosum OX=4113 PE=1 SV=1 MAIVGGLVDVPFENKVEFDDLARFAVQDYNQKNDSSLEFKKVLNVKQQIVAGIMYYITFEATEGGNKKEYEAKILLRKWEDLKKVVGFKLVGDDSTMPGGIVNVPNPNNTKFQELARFAIQDYNKKQNAHLEFVENLNVKEQVVAGIMYYITLAATDDAGKKKIYKAKIWVKEWEDFKKVVEFKLVGDDIAKLGGITDVPFPNNPEFQDLARFAIQVYNKKENVHLEFVENLNVKQQVVAGMMYYITLAAIDAGKKKIYETKIWVKEWEDFKKVVEFKLVGDDSAKTGGIINVPNPNSPEFQDLARFAVQDYNNTQNAHLEFVENLNVKEQLVSGMMYYITLAATDAGNKKEYEAKIWVKEWEDFKKVIDFKLVGNDSAKKLGGFTEVPFPNSPEFQDLTRFAVHQYNKDQNAHLEFVENLNVKKQVVAGMLYYITFAATDGGKKKIYETKIWVKVWENFKKVVEFKLVGDDSAKLGGIINVPFPNNPEFQDLARFAVQDYNKKENAHLEFVENLNVKEQLVAGMLYYITLVAIDAGKKKIYEAKIWVKEWENFKKVIEFKLIGDDSAIIGGFTDVPFPNNPEFQDLARFAVQDYNKKENAHLEYVENLNVKEQLVAGMIYYITLVATDAGKKKIYEAKIWVKEWEDFKKVVEFKLVGDDSAKPGGIIIVPFPNSPEFQDLARFAVQDFNKKENGHLEFVENLNVKEQVVAGMMYYITLAATDARKKEIYETKILVKEWENFKEVQEFKLVGDATK