P29086 AF NFT

Uncharacterized transporter in sor 3'region

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidyzfubbfej2gg5dwibfjbrmy32uge2f7lvrvaxtew2k5kwkcd3ta/metadata.json
IPFS of structure file: 
bafybeifshggs2f4wyk6dmbbt5mwszofsyzfzhxzcqooxhrfsl3p33gglyq/AF-P29086-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF
First NFT owner address (bech32): 
genesis1huxjuyruu8kd93pknvzzyapqrkm3n240z6jrgl
Current NFT ID #538304 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
538304
Accession (UniProt):
P29086
Name::
Uncharacterized transporter in sor 3'region
Experimental Method:
Predicted structure
Sequence source:
ACIDIANUS AMBIVALENS

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 P29086 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P29086|YSO2_ACIAM Uncharacterized transporter in sor 3'region OS=Acidianus ambivalens OX=2283 PE=2 SV=1 MFFMALRFLIGGIILLPFAKQLTLNRDIFLLSIFTTLSTSFWAYGLLYVEPSESAVLSYTMPLIAIPLSTLILREKTTKTEVIGILIGFSGVVIYSLNLGIYFSLIGIVLTLINAFFWALFTVYFRKLRGFDATSVNAVQLLLGSLIFFTLSPIQFYFKYSINFLVDLLYVSVLGGGISFYLWNSMLKTERVSKVTVLSFSVPAVSTAVDELRGVNVNIGMIEGIGVMFLGILISRLEKKINKSNIINGRFHV