Q9VFX3 AF NFT

Protein apnoia

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieyq2tvcunjuqedmoq3h2abj5tn6hvr5ga47257gxpkph3wruec5q/metadata.json
IPFS of structure file: 
bafybeicopser2shhn56vk76pybin476fsopouquc236clynj2ucstmrosa/AF-Q9VFX3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd6ce0c7C49c82dFd45bc32bF85412d99a1588283
First NFT owner address (bech32): 
genesis16m8qclzfeqkl63dux2lc2sfdnxs43q5r3vkeg8
Current NFT ID #18392 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
18392
Accession (UniProt):
Q9VFX3
Name::
Protein apnoia
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q9VFX3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9VFX3|APN_DROME Protein apnoia OS=Drosophila melanogaster OX=7227 GN=apn PE=1 SV=1 MAANQKIVFALVCLFLACDLVLGQQQAANSSDSDSDVAESRTFGHHFLRRISFALVPGAFVVGVITTLLAALTVVSIKGLGVGVILLVLAIGQMLSRALPVQAAAAYAAAPVPVQAPVPVVYSHSHTQQPVWLEKEW