Q9W6A7 AF NFT

Red-sensitive opsin-1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigsej4es23fqosorqqe5oynhzmv5vajkg4n66wmh2k3xafoefdds4/metadata.json
IPFS of structure file: 
bafybeigfp33hawnl7bawxmyrwv3rvzkot4kfmrkska7rlydbhq4aqfi74a/AF-Q9W6A7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x999baaE1ba9F2509deDB879851F6Fc2FB0a1B63a
First NFT owner address (bech32): 
genesis1nxd64cd6nujsnhkms7v9rahu97c2rd36ln7vnc
Current NFT ID #282083 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
282083
Accession (UniProt):
Q9W6A7
Name::
Red-sensitive opsin-1
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q9W6A7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9W6A7|OPSR1_DANRE Red-sensitive opsin-1 OS=Danio rerio OX=7955 GN=opn1lw1 PE=1 SV=1 MAEHWGDAIYAARRKGDETTREAMFTYTNSNNTKDPFEGPNYHIAPRWVYNVATVWMFFVVVASTFTNGLVLVATAKFKKLRHPLNWILVNLAIADLGETLFASTISVINQFFGYFILGHPMCIFEGYTVSVCGIAALWSLTVISWERWVVVCKPFGNVKFDAKWASAGIIFSWVWAAAWCAPPIFGWSRYWPHGLKTSCGPDVFSGSEDPGVQSYMVVLMITCCIIPLAIIILCYIAVYLAIHAVAQQQKDSESTQKAEKEVSRMVVVMIFAYCFCWGPYTFFACFAAANPGYAFHPLAAAMPAYFAKSATIYNPVIYVFMNRQFRVCIMQLFGKKVDDGSEVSTSKTEVSSVAPA