Q8FS11 AF NFT

Uncharacterized transporter CE0595

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibh633yvh2g6jl5yby37gd4hpo4uiiqui3bohtnrbmuhuo552mbli/metadata.json
IPFS of structure file: 
bafybeiagszoz7mapylf5wktqjnm3v4hpeorgw4rnbbi7gxh5o7mqeiyjra/AF-Q8FS11-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5C0bC9C36F16996167015afdB6C60c73a394D024
First NFT owner address (bech32): 
genesis1ts9unsm0z6vkzecptt7md3svww3ef5pyeh7ff9
Current NFT ID #520003 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
520003
Accession (UniProt):
Q8FS11
Name::
Uncharacterized transporter CE0595
Experimental Method:
Predicted structure
Sequence source:
Corynebacterium efficiens (strain DSM 44549 / YS-314 / AJ 12310 / JCM 11189 / NBRC 100395)

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 Q8FS11 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8FS11|Y595_COREF Uncharacterized transporter CE0595 OS=Corynebacterium efficiens (strain DSM 44549 / YS-314 / AJ 12310 / JCM 11189 / NBRC 100395) OX=196164 GN=CE0595 PE=3 SV=1 MLDFLAANPLIALAVILAVGLAIGRISLFGVSLGAAAVLIVALVVSTLNPDIQIPAFVFQLGLAMFVYVIGISAGPAFFREFRSRGWKLTLFMITLLVSLTALAWVLIRAFGLGAGAGAGMFAGSLTSTPGMAAVVALMDPAQAGDPVIGYSLAYPGAVLGSILVAAVGAKLLKVNHTEDAREEGLVTEPLVWKGVRIGEGISGTIGDLPRLSGQQIIATRIVEDPHEHRLADPTLPIKPGMELVINGTVNAVDRAIAALGGECDTKIEDTELVYSRFTVSNPDIVGRTVAELDPVANGFMIARIRQGDTEIVPHRDTVLNYSDRVRVVAAPGRMGEVRRFLGDSEKALGDVNLLPFAIGLSLGLLLGAIPVPLPGDTTMYLGFGGGPIVAGLILGALNRTGPITWQLPFHANRTISTLGLALFLAGVGTSAGAGFRQALTDPQSFVYMGVGFAITVTSALVCAVVGMWLLKLKWDESMGVAAGATTNPAIISYLNDQTGTDLANRGYATVYPTAMIGKILACQVLFLLL