Q8AYM7 AF NFT

Green-sensitive opsin-3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifi2ljqpmjnx2slh7wvuh6ixrrt64xmrd7ubdj36m3bmtsgmrn3w4/metadata.json
IPFS of structure file: 
bafybeigxmtvmqb6q47h2lssg7rnmuqpzc36r2jz3szadce2huefnuep344/AF-Q8AYM7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6d739c6BE1b8DC17AebEBf1f98C5B46AFAFd54E3
First NFT owner address (bech32): 
genesis1d4eec6lphrwp0t47hu0e33d5dta0648rmwaw5w
Current NFT ID #282060 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
282060
Accession (UniProt):
Q8AYM7
Name::
Green-sensitive opsin-3
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 Q8AYM7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8AYM7|OPSG3_DANRE Green-sensitive opsin-3 OS=Danio rerio OX=7955 GN=opn1mw3 PE=1 SV=1 MNGTEGNNFYIPMSNRTGLVRSPYEYPQYYLAEPWQFKLLAVYMFFLMCFGFPINGLTLVVTAQHKKLRQPLNFILVNLAVAGTIMVCFGFTVTFYTAINGYFVLGPTGCAIEGFMATLGGQISLWSLVVLAIERYIVVCKPMGSFKFSSNHAFAGIGFTWIMALSCAAPPLVGWSRYIPEGMQCSCGPDYYTLNPDYNNESYVLYMFCCHFIFPVTTIFFTYGRLVCTVKAAAAQQQESESTQKAEREVTRMVILMVLGFLVAWTPYASVAAWIFFNRGAAFSAQFMAVPAFFSKSSSIFNPIIYVLLNKQFRNCMLTTLFCGKNPLGDDESSTVSTSKTEVSSVSPA