P96664 AF NFT

Uncharacterized MFS-type transporter YdeG

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig66w76w6cpt2awqt3dothboessiz3dc4uczast4xvazmyslrgt54/metadata.json
IPFS of structure file: 
bafybeia3cv7jiiwmntjl7szevxwr3kgtbhdv3rsmgwro37sahpzb7szwqy/AF-P96664-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3fd45D5379558509344f5F00BeA37E3fcF852280
First NFT owner address (bech32): 
genesis18l2965me2kzsjdz0tuqtagm78l8c2g5q5ulkaw
Current NFT ID #528402 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
528402
Accession (UniProt):
P96664
Name::
Uncharacterized MFS-type transporter YdeG
Experimental Method:
Predicted structure
Sequence source:
BACILLUS SUBTILIS (STRAIN 168)

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 P96664 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P96664|YDEG_BACSU Uncharacterized MFS-type transporter YdeG OS=Bacillus subtilis (strain 168) OX=224308 GN=ydeG PE=3 SV=1 MMLDKDSVKAIDVQTASLQSYISSPEKQKSLYKRTLFVVSISQIFGGAGLAAGVTVGALIAQQMLGTDAFAGLPSALFTLGSAGSALIVGRLSQRYGRRTGLSAGFMIGGLGAIGVIMAAIINSIFLLFISLLIYGAGTATNLQARYAGTDLANHKQRATAVSITMVFTTFGAVAGPSLVNVMGDFALSIGVPSLAGPFILAAAAYMLAGVVLFIMLRPDPLVIARTIEAANEEPGDKGHLAATEHTENKKGIIVGATVMVLTQIVMVAIMTMTPVHMRHHGHDLGAVGLVIGFHIGAMYLPSLVTGVLVDRLGRTAMAISSGTTLLLAGVIAAFAPGESMILLVIALSLLGLGWNFGLISGTALIVDSTDTATRAKTQGTVDVLIALSGAAGGALSGMIVAGSSYLALSLIGGILSLLLIPVVVWSRGR