Q9YGZ3 AF NFT

Rhodopsin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaae45iqeuh3fjh53kk5yy5l7bh3flr4mxyytmkprih4rlh7ykbqy/metadata.json
IPFS of structure file: 
bafybeigxows3fcddjx55dvu27huctywhupptoczjxozb7iqhoz3ua2o6ja/AF-Q9YGZ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x619F51Fb686eB178E60C23E8610260c3C69601D6
First NFT owner address (bech32): 
genesis1vx04r7mgd6ch3esvy05xzqnqc0rfvqwk6kq4d4
Current NFT ID #282028 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
282028
Accession (UniProt):
Q9YGZ3
Name::
Rhodopsin
Experimental Method:
Predicted structure
Sequence source:
Salaria pavo

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 Q9YGZ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9YGZ3|OPSD_SALPV Rhodopsin OS=Salaria pavo OX=152553 GN=rho PE=2 SV=1 MNGTEGPYFYIPMVNTTGIVRSPYEYPQYYLVNPAAYAALGAYMFFLILLGFPINFLTLYVTLEHKKLRTPLNYILLNLAVADLFMVFGGFTTTMYTSMHGYFVLGRLGCNLEGFFATLGGEIGLWSLVVLAIERWVVVCKPISNFRFGENHAIMGLAFTWIMACACAVPPLVGWSRYIPEGMQCSCGVDYYTRAEGFNNESFVVYMFTCHFCIPLTIIGFCYGRLLCAVKEAAAAQQESETTQRAEREVTRMVILMVVGFLVCWLPYASVAWYIFSNQGSQFGPLFMTIPAFFAKSSSVYNPMIYICMNKQFRHCMITTLCCGKNPFEEEEGASTTASKTEASSVSSSSVSPA