Q9P6J7 AF NFT

Uncharacterized MFS-type transporter C1683.03c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicc33u3e5627my7wqivh672vb45btmvmshxa3jlbf5h6nc6itumfm/metadata.json
IPFS of structure file: 
bafybeidngdhnkctl45hab6ahmrqfzbhfrqvja4ubsbpme7wngrhg2q747q/AF-Q9P6J7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7A816d16baC3b20dEBc7EBDBDf668ce411f65C73
First NFT owner address (bech32): 
genesis102qk6946cweqm678a0da7e5vusglvhrnueh5j4
Current NFT ID #531112 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
531112
Accession (UniProt):
Q9P6J7
Name::
Uncharacterized MFS-type transporter C1683.03c
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 Q9P6J7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9P6J7|YHD3_SCHPO Uncharacterized MFS-type transporter C1683.03c OS=Schizosaccharomyces pombe (strain 972 / ATCC 24843) OX=284812 GN=SPBC1683.03c PE=3 SV=1 MMNYVKSLGTYNTRNMEKESSKDLVQNEDTPLPVQKISMSLFHEIVFVFIACTAQLMTQAGLGQSIAPNNIIGKSLGTTNPGQLSWFPASYSLTVGTFILIAGRLGDIYGHKKMFVLGYIWFCIWSLISGFSYYAKSVIMFDVCRALTGIAPAFLLPNALALLGRVYPPGKKKNLIFALFGATAPNGFLLGSVFSGIFAQLSWWPWTYWTTAIVCIVFAIIGYFAIPHIEADEVEEKQKFDYLGAFFGVSGLVLINFSWNQGPVVGWQVPYVYILLIIGFLSLVVFVLVEKRVVQPILAPSMMNSEMGCVLICVAAGWACFGIWMYYLWQFLENLRFATPLLVTAQLTPVGISGCAAALTTGYLLKRLKPTKIMVVSMIAFTVGTILIATAPIHQTYWAQTFVSIIVTPWGMDMSFPAATLMLSDFVPKQHQGIAASLVSTVVNYSISIGLGIAGTVETHLNHKGVDLIRGYRSAWYMGTGFGGLGVCVAILTVFASYLKVGQQKSPKFPLIMKNTKAV