Q9P5N4 AF NFT

Uncharacterized amino-acid permease C359.01

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaclmigvafkvx4na2c563xcdcmors2cweoaozalvbxmda66o7tppe/metadata.json
IPFS of structure file: 
bafybeihbjqw7vryt5easuufwnlh2zkzrog2edhrukw6hy6gdvfhgwnewui/AF-Q9P5N4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x377A671cC221aFAc27e06D50A303640C3b531ee2
First NFT owner address (bech32): 
genesis1xaaxw8xzyxh6cflqd4g2xqmypsa4x8hzf4vnpl
Current NFT ID #530858 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
530858
Accession (UniProt):
Q9P5N4
Name::
Uncharacterized amino-acid permease C359.01
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 Q9P5N4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9P5N4|YH81_SCHPO Uncharacterized amino-acid permease C359.01 OS=Schizosaccharomyces pombe (strain 972 / ATCC 24843) OX=284812 GN=SPBC359.01 PE=3 SV=2 MSHSDYNFDIEQNAFEKEAPKVSIERKGDVVEEEVIATGEVENYAEPKSRNFLQRFFDDFKPALTTRGDGVALKRKLTSRHMQMISVGGAIGSGLYVGSGSAFADGGPASVIINYILIGIMMIFVIYALGELAIAYPVAGSFNTYATRFIDPAWGFAVSWNYFLNYFVTCPLELTTCAITFKFWTEINSAAWISIFLAVVIVINLFGVRAYGEVEFILSTIKVIATVGFIILAIIINCGGVPTDHRGYIGGSIIKQKPFRHGFKGFCSVFTTAAFSFSGTEIIGLAAAEVGNPRKSVPSAVKQVFWRIAIFYVVSLILIGLLVSPDDPRLMGNGDVSVSPFVLAIQEANIKGLPSVFNAVIIISVVSVTNSTTYTAARTLQGMATLKQAPKFFSYTDRVGRPLIAMVVVLLFGFFAYINEADKNGSDISDTVFDWLLAISGLSSFFTWGSICLSHIMFRLAFKKQGHSLKELGFVSPMGIWGSVIGLGFNILCLMAEFYVSLFLIGGSPNANDFFQGYLAACIALAFFIGYKIYDRSHIPSLDKLDIDTGLKTYDNQDEEKEEYSSKGPLNILKKAWNAVC