Q9C0W3 AF NFT

Uncharacterized membrane protein P22H7.04

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibhj4czk5sr6xwstu645geds4zyfv2ucr3znd6efuvp6ygxkxizrm/metadata.json
IPFS of structure file: 
bafybeidv2frghfkot4cznibk3trfa5vjr3d734ljk66ubtijzfkj237qje/AF-Q9C0W3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1Eec5F29CD795323506a0E09aeC21c942c4b00a7
First NFT owner address (bech32): 
genesis1rmk972wd09fjx5r2pcy6assujskykq987aaaea
Current NFT ID #531324 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
531324
Accession (UniProt):
Q9C0W3
Name::
Uncharacterized membrane protein P22H7.04
Experimental Method:
Predicted structure
Sequence source:
SCHIZOSACCHAROMYCES POMBE (STRAIN 972 / ATCC 24843)

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 Q9C0W3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9C0W3|YHI4_SCHPO Uncharacterized membrane protein P22H7.04 OS=Schizosaccharomyces pombe (strain 972 / ATCC 24843) OX=284812 GN=pi027 PE=4 SV=1 MSMLIFNIRVARHKALLSRIVSTNMFNPMFRSLRPIQKSFSEISILRVFNKPPIKKFHNSNILKDITSKRNATPAKIAWQAMTTREPFLVYQAKADKKISLIYLLTVGMLINVCVITSFASVDIYRAKDEIFANWVDMDYYEKLSYIGSAFITPALYFTLTLILFLPRRNIYSISTLPSQRFEIVTGFLSPFNKLYFSKSLIVPRKDVSIVTYSLQKNPITLKIRDRPFYYLLNANGKYAGNSKDVLFCVIGNRY