Q9F646 AF NFT

Azurin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicoooxplmtt6m2ukbo5krym2zerxjll4ydxgphsryolvq7vmd4k5u/metadata.json
IPFS of structure file: 
bafybeib4sojbeabfiuu5llf3yvibxijtoilj3ry2p7jroroaxwnmzwwuu4/AF-Q9F646-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x487e03eC3359A10Fe1B2D35e4751cdacED1B9F0D
First NFT owner address (bech32): 
genesis1fplq8mpntxsslcdj6d0yw5wd4nk3h8cdyn3j0j
Current NFT ID #39926 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
39926
Accession (UniProt):
Q9F646
Name::
Azurin
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS PUTIDA

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 Q9F646 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9F646|AZUR5_PSEPU Azurin OS=Pseudomonas putida OX=303 PE=1 SV=1 MFAKAVAVSLLTLASAQVFAADCKVTVDSTDQMSFNTKAIEIDKSCKTFTVELTHSGNLPKNVMGHNLVISKEADMQPIATDGLSAGIDKDYLKEGDDRVIAHTKVIGAGEKDSVTFDVSKLKADEKYGFFCSFPGHISMMKGTVTLK