C0HKN9 AF NFT

Peptide PGLa-R1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifng5gk3xgcckmfps624czgegjdpd5slasr6ctxawcuw2srhb2aku/metadata.json
IPFS of structure file: 
bafybeihsfks5rhemwucc3kyrshfoqo5gbt667xsn7pc4xcfalzworgqjdu/AF-C0HKN9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0439fF960F7A476d7DF12a352C5Bf831a73cDfEb
First NFT owner address (bech32): 
genesis1qsull9s00frk6l039g6jcklcxxnnehltv0j3rf
Current NFT ID #296979 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
296979
Accession (UniProt):
C0HKN9
Name::
Peptide PGLa-R1
Experimental Method:
Predicted structure
Sequence source:
Xenopus ruwenzoriensis

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 C0HKN9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C0HKN9|PGLR1_XENRU Peptide PGLa-R1 OS=Xenopus ruwenzoriensis OX=105430 PE=1 SV=1 GMASKAGSVLGKVAKVALKAAL