A9QZJ2 AF NFT

Sialic acid transporter NanT

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih5n6e73nrgfncrf2n35c2oagff2punt6o2iwzoh3bxxld5ldkunm/metadata.json
IPFS of structure file: 
bafybeigyjixkqprp67npbtv3ymox7lzvzkmva76lvofr6wg353zstfxlnm/AF-A9QZJ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xDc9c9Af88E0b0A5Ec61DD36Ae0Ecd840271f80cF
First NFT owner address (bech32): 
genesis1mjwf47ywpv99a3sa6d4wpmxcgqn3lqx0f0zrj0
Current NFT ID #259175 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
259175
Accession (UniProt):
A9QZJ2
Name::
Sialic acid transporter NanT
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Angola)

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 A9QZJ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9QZJ2|NANT_YERPG Sialic acid transporter NanT OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=nanT PE=3 SV=1 MSISVGPSREDKPLSGGAKPPRWYKQLTPAQWKAFVAAWIGYALDGFDFVLITLVLTDIKQEFGLTLIQATSLISAAFISRWFGGLVLGAMGDRYGRKLAMITSIVLFSFGTLACGLAPGYTTLFIARLIIGIGMAGEYGSSSTYVMESWPKNMRNKASGFLISGFSIGAVLAAQAYSYVVPAFGWRMLFYIGLLPIIFALWLRKNLPEAEDWEKAQSKQKKGKQVTDRNMVDILYRSHLSYLNIGLTIFAAVSLYLCFTGMVSTLLVVVLGILCAAIFIYFMVQTSGDRWPTGVMLMVVVFCAFLYSWPIQALLPTYLKMDLGYDPHTVGNILFFSGFGAAVGCCVGGFLGDWLGTRKAYVTSLLISQLLIIPLFAIQGSSILFLGGLLFLQQMLGQGIAGLLPKLLGGYFDTEQRAAGLGFTYNVGALGGALAPILGASIAQHLSLGTALGSLSFSLTFVVILLIGFDMPSRVQRWVRPSGLRMVDAIDGKPFSGAITAQHARVVTQK