O97490 AF NFT

Melanotransferrin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigh2ksuhi5vl2b2qypjk7haqrb6xvmaxvdsviydmxecwijlhsnb5u/metadata.json
IPFS of structure file: 
bafybeibyo6epqz6oe3ff3l4744pyipdbnwhvomxtmttttdnsnjebnbjlby/AF-O97490-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x06Ceb5C01b2979cC4E4047AEa00bE3fE866C749E
First NFT owner address (bech32): 
genesis1qm8ttsqm99uucnjqg7h2qzlrl6rxcay7004ac8
Current NFT ID #472662 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
472662
Accession (UniProt):
O97490
Name::
Melanotransferrin
Experimental Method:
Predicted structure
Sequence source:
ORYCTOLAGUS CUNICULUS

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 O97490 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O97490|TRFM_RABIT Melanotransferrin OS=Oryctolagus cuniculus OX=9986 GN=MELTF PE=2 SV=1 MRCRSAAMWIFLALRTALGSVEVRWCTASEPEQQKCEDMSQAFREAGLQPALLCVQGTSADHCVQLIAAHEADAITLDGGAIYEAGKEHGLKPVVGEVYDQEVGTSYYAVAVVKRSSNVTINTLRGVKSCHTGINRTVGWNVPVGYLVDSGRLSVMGCDVLKAVSEYFGGSCVPGAGETRYSESLCRLCRGDTSGEGVCDKSPLERYYDYSGAFRCLAEGAGDVAFVKHSTVLENTDGRTLPSWGHMLMSRDFELLCRDGSRASVTEWQHCHLARVPAHAVVVRADTDAGLIFRLLNEGQRLFSHEGSSFQMFSSEAYGQKNLLFKDSTLELVPIATQTYEAWLGPEYLHAMKGLLCDPNRLPPYLRWCVLSTPEIQKCGDMAVAFSRQRLKPEIQCVSAESPQHCMEQIQAGHIDAVTLNGEDIHTAGKTYGLIPAAGELYAADDRSNSYFVVAVVKRDSAYAFTVDELRGKRSCHPGFGSPAGWDVPVGALIHWGYIRPRNCDVLTAVGQFFNASCVPVNNPKKYPSSLCALCVGDEQGRNKCTGNSQERYYGDSGAFRCLVEGAGDVAFVKHTTIFDNTNGHNPEPWAAHLRSQDYELLCPNGARAEAHQFAACNLAQIPSHAVMVRPDTNIFTVYGLLDKAQDLFGDDHNKNGFKMFDSSSYHGRDLLFKDATVRAVPVGERTTYQDWLGPDYVAALEGMQSQRCSGAAVGAPGASLLPLLPLAVGLLLSSL