Q5R7B4 AF NFT

Receptor for retinol uptake STRA6

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibxo6ihj5vae4ydobethj3eqixr6mljabxxeiidzxw7wpwu3bvtgm/metadata.json
IPFS of structure file: 
bafybeibawcykexuxvi4gxh64fjp6a2h7ssvfl244qf25t6sij2wqfsj7te/AF-Q5R7B4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x79a905d858Ce72991FD6E7a9C6498620f42E146D
First NFT owner address (bech32): 
genesis10x5stkzceeefj87ku75uvjvxyr6zu9rds9d8xj
Current NFT ID #439973 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
439973
Accession (UniProt):
Q5R7B4
Name::
Receptor for retinol uptake STRA6
Experimental Method:
Predicted structure
Sequence source:
Pongo abelii

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 Q5R7B4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5R7B4|STRA6_PONAB Receptor for retinol uptake STRA6 OS=Pongo abelii OX=9601 GN=STRA6 PE=2 SV=1 MSSQPAGNQTSPGPTEDYSYGSWYIDEPQGGEELQPEGEVPSCHTSIPPSLYHACLASLSILVLLLLAMLVRRRQLWPDCVRGRPGLPSPVDFLAGDRPQAVPAAVFVVLFSSLCLLLPDEDPLPFLTLASAPSQDGKTEAPRGAWKILGLFYYAALCYPLAACATAGHTAAHLLGSTLSWAHLGVQVWQRAECPQVPKIYKYYSLLASLPLLLGLGFLSLWYPVQLVRSFSCRTGAGSKGLQSSYSEEYLRNLLCRKKLGSSSHTSKHGFLSWAWVCLRHCIYTPQPGFRLPLKLVLSATLTGTAIYQVALLLLVGMVPNIQKVRAGVTTDVSYLLAGFGIVLSEDKQEVVELVKHHLWALEVCYISALVLSCSLTFLVLMRSLVTHRTNLRALHRGAALDSSPLHRSPHPSRRAIFCWMSFSAYQTAFICLGLLVQQIIFFLGTTALAFLVLMPVLHGRNLLLFRSLESSWPFWLTLALAVILQSMAAHWVFLETHDGHPQLTNRRVLYAATFLLFPLNVLVGAMVATWRVLLSALYNAIHLGQMDLSLLPPRAATLDPGYYTYRNFLKIEVSQSHPAMTAFCSLLLQARSLLPRTMAAPQDSLRPGEEDEGMQLLQTKDSMAKGARPRANRGRARWGLAYTLLHNPTLQVFRKTALLGANGAQP