Q66FD1 AF NFT

Guanidinium exporter

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibpblz5ck7gb6gqa6ahzy33de2msafy3agghlpe5dgmzqga5vvoma/metadata.json
IPFS of structure file: 
bafybeihrmnavxngoytvfke46qp4u542wfy6xca6r33dld3mwitcwyhpxj4/AF-Q66FD1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC7DFEA189D67fDEA5e8f3ACCc9C756390e523774
First NFT owner address (bech32): 
genesis1cl075xyavl775h508txvn36k8y89ydm5eclkv2
Current NFT ID #146179 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
146179
Accession (UniProt):
Q66FD1
Name::
Guanidinium exporter
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PSEUDOTUBERCULOSIS SEROTYPE I (STRAIN IP32953)

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 Q66FD1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q66FD1|GDX_YERPS Guanidinium exporter OS=Yersinia pseudotuberculosis serotype I (strain IP32953) OX=273123 GN=gdx PE=3 SV=1 MAWIILVIAGLLEVIWAIGLKYSHGFSRLTPSIITLVAMAASVFLLAYAMKSLPAGTAYAVWTGIGAVGTAILGIVLLGESASLARILSLGLILAGIIGLKLAS