P0C0Y6 AF NFT

Protein PufQ

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihewb7my6zt6tsmhgaqolidern5erpvnwa7tfbo2i3v6br56egzta/metadata.json
IPFS of structure file: 
bafybeih2cdcpw7euhlrv3b7q7mu675ty5w7unpdwx4nqnwdwbsv626gjeq/AF-P0C0Y6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x01970A7586aE074a277adA45533563056BA700c1
First NFT owner address (bech32): 
genesis1qxts5avx4cr55fm6mfz4xdtrq446wqxp7tt32p
Current NFT ID #320249 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
320249
Accession (UniProt):
P0C0Y6
Name::
Protein PufQ
Experimental Method:
Predicted structure
Sequence source:
Cereibacter sphaeroides

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 P0C0Y6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0C0Y6|PUFQ_CERSP Protein PufQ OS=Cereibacter sphaeroides OX=1063 GN=pufQ PE=3 SV=1 MSDHAVNTPVHAARAHGHRAPRAEFYVYFAVILLGGFPVAFVSWIVSTIRHRRLPKRGPFASAWFDAKAITPLIFRA