Q9W6A9 AF NFT

Opsin-1, short-wave-sensitive 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigzn5dp33dg3kyob5hduhav5izrrfgoisxvl4pjqogozlntboyp2a/metadata.json
IPFS of structure file: 
bafybeie5iaxzznuioihea3gbscbr3y76ygwv2ky3pfzdebejtwmieouybm/AF-Q9W6A9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x377A671cC221aFAc27e06D50A303640C3b531ee2
First NFT owner address (bech32): 
genesis1xaaxw8xzyxh6cflqd4g2xqmypsa4x8hzf4vnpl
Current NFT ID #281406 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
281406
Accession (UniProt):
Q9W6A9
Name::
Opsin-1, short-wave-sensitive 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 Q9W6A9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9W6A9|OP1S1_DANRE Opsin-1, short-wave-sensitive 1 OS=Danio rerio OX=7955 GN=opn1sw1 PE=1 SV=2 MDAWAVQFGNASKVSPFEGEQYHIAPKWAFYLQAAFMGFVFIVGTPMNGIVLFVTMKYKKLRQPLNYILVNISLAGFIFDTFSVSQVFVCAARGYYFLGYTLCAMEAAMGSIAGLVTGWSLAVLAFERYVVICKPFGSFKFGQGQAVGAVVFTWIIGTACATPPFFGWSRYIPEGLGTACGPDWYTKSEEYNSESYTYFLLITCFMMPMTIIIFSYSQLLGALRAVAAQQAESESTQKAEREVSRMVVVMVGSFVLCYAPYAVTAMYFANSDEPNKDYRLVAIPAFFSKSSCVYNPLIYAFMNKQFNACIMETVFGKKIDESSEVSSKTETSSVSA