Q9HYW0 AF NFT

UPF0276 protein PA3283

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic3oh56hdb6qqrgpyxmv54ggpjctz4tei3gvpls4yc5d3ljfb4pei/metadata.json
IPFS of structure file: 
bafybeiamwcbxowzkvm52mhiwjvvxchn4vhuzjvhhwazzn3zon4uyxpam6u/AF-Q9HYW0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6e687cC6e263D2A00FeB863E3480af514fBBF1Bd
First NFT owner address (bech32): 
genesis1de58e3hzv0f2qrltsclrfq90298mhudafzyzly
Current NFT ID #514987 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
514987
Accession (UniProt):
Q9HYW0
Name::
UPF0276 protein PA3283
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS AERUGINOSA (STRAIN ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1)

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 Q9HYW0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HYW0|Y3283_PSEAE UPF0276 protein PA3283 OS=Pseudomonas aeruginosa (strain ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1) OX=208964 GN=PA3283 PE=3 SV=1 MQREFVSGAGLGLRRALLEPLGAGDGVRVDFLEVAPENWIGIGGRLGRQFRELTERLPFLCHGLSLNLGGYAPLDMSLLRAIKGFIEQHDIRAYSEHLSACADDGQLYDLMPLPFSDESVRRVAERVRVVQDVLERPLIVENVSAYARLPGELEEVDFVRAVLEEADCQLLLDVNNVYVNACNFGFDAHAYIAAMPSRRIAYLHMAGHDEQGASLKIDTHGAPVCDPVWELLAHAYACHGERPTLLERDFNLPPLSELYAETDRIRELQRRSGEAQLRSLGYGT