C0HK87 AF NFT

Peptide PGLa-B2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigesfnnxgdbryixqkt6c44nsxw7qn2zb7av7xgvn5art3f3rzu3oa/metadata.json
IPFS of structure file: 
bafybeiamasru7jjasw6g6c6kbc7id7bnz6762zba57haowtajjqihnhc6e/AF-C0HK87-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9e5E98E011361C5888c92e2CDb7652E02Bd5C7Ed
First NFT owner address (bech32): 
genesis1ne0f3cq3xcw93zxf9ckdkajjuq4at3ldwq49kv
Current NFT ID #296952 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
296952
Accession (UniProt):
C0HK87
Name::
Peptide PGLa-B2
Experimental Method:
Predicted structure
Sequence source:
Xenopus borealis

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 C0HK87 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C0HK87|PGLB2_XENBO Peptide PGLa-B2 OS=Xenopus borealis OX=8354 PE=1 SV=1 GMASKAGSIVGKIAKIALGAL