C0HKP0 AF NFT

Peptide PGLa-R2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicxrv5h4rdsqbnrfw5vww2t2pwsfmbwapeivmsn4fjtb4bpfzwyfy/metadata.json
IPFS of structure file: 
bafybeienezzwhix5wlvmdro335rkbp3rioxdydktmcyyymu7se4fzdsfz4/AF-C0HKP0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB5421b6788433D11c92ee25039BE5189Ef459De4
First NFT owner address (bech32): 
genesis1k4ppkeuggv73rjfwufgrn0j338h5t80ys56jsz
Current NFT ID #296995 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
296995
Accession (UniProt):
C0HKP0
Name::
Peptide PGLa-R2
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 C0HKP0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C0HKP0|PGLR2_XENRU Peptide PGLa-R2 OS=Xenopus ruwenzoriensis OX=105430 PE=1 SV=1 GMASKAGAIAGKIAKVALKAL