Q0AZQ0 AF NFT

UPF0297 protein Swol_0469

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigbxznwmlgwkf724tbm4eiufrkcsu5audqfbsya37fuiiyo7ekfba/metadata.json
IPFS of structure file: 
bafybeiecgopqe4bv2om3ph7fxfmeg3hg2blocrili2ek6wy3wp3qdqebmu/AF-Q0AZQ0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7F23C94bd28B14B8fd19Fd1aC6EC1f9697562953
First NFT owner address (bech32): 
genesis10u3ujj7j3v2t3lgel5dvdmqlj6t4v22nmsqs06
Current NFT ID #518025 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
518025
Accession (UniProt):
Q0AZQ0
Name::
UPF0297 protein Swol_0469
Experimental Method:
Predicted structure
Sequence source:
SYNTROPHOMONAS WOLFEI SUBSP. WOLFEI (STRAIN DSM 2245B / GOETTINGEN)

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 Q0AZQ0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0AZQ0|Y469_SYNWW UPF0297 protein Swol_0469 OS=Syntrophomonas wolfei subsp. wolfei (strain DSM 2245B / Goettingen) OX=335541 GN=Swol_0469 PE=3 SV=1 MPQLPGETVSFKLERDDENKVRAILHTVYQALQEKGYNPINQLVGYMISGEPAYITSHSEARNLICKVDRDEIMEVLLKSYLQNSMGKGE