O20173 AF NFT

Uncharacterized 27.9 kDa protein in trnR-minE intergenic region

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihkxppp2oihoir36t2o3jpgtvdkpyq3je2a3nkzuhhpvflx3tc47u/metadata.json
IPFS of structure file: 
bafybeich3ki3nvotjydz5rvca4wxr7tg6pepan3p7wxcpftmnendxzkddy/AF-O20173-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5d1DBE1CCF2C7b8d1a0c0376A6169d8E6d6f2603
First NFT owner address (bech32): 
genesis1t5wmu8x093ac6xsvqdm2v95a3ekk7fsrvscwm0
Current NFT ID #527997 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
527997
Accession (UniProt):
O20173
Name::
Uncharacterized 27.9 kDa protein in trnR-minE intergenic region
Experimental Method:
Predicted structure
Sequence source:
Chlorella vulgaris

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 O20173 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O20173|YCX9_CHLVU Uncharacterized 27.9 kDa protein in trnR-minE intergenic region OS=Chlorella vulgaris OX=3077 PE=4 SV=1 MNKKESILREFALLCYFFIVYLLLPKNAKHPLADKSFLDPHPVARVSPFGSRPPFLLMVPSTSVPNASLESGQSSTISPRRQKESSIPVLQASGSVSANKTFQSTESSALHQPKSSSSERTGKIITRQRPHSGPTSPRVTPGELLPTLEALKLQEALDFAQLKLKTRQVRYTINLRSQKLLDTICELNDEKRAEVEEQAAYIFTLQKELVETGYEKVSSYNFTYSRLKQKAEELKYASKKEVAQLVNSL