Q7SYN5 AF NFT

Retinoic acid receptor RXR-beta-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicpemu7pwsph4snqdlltvft36loas3qpngjxbl5zfumt7bxthwgj4/metadata.json
IPFS of structure file: 
bafybeieflmbxr76fpnduxjx3yejp2jq2nxwcckdstvqwcy3nw4jxtquawy/AF-Q7SYN5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x979789353e6255fD1B9686ec8eB84C4662C56FCd
First NFT owner address (bech32): 
genesis1j7tcjdf7vf2l6xuksmkgawzvge3v2m7dlfcmmr
Current NFT ID #418281 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
418281
Accession (UniProt):
Q7SYN5
Name::
Retinoic acid receptor RXR-beta-A
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 Q7SYN5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7SYN5|RXRBA_DANRE Retinoic acid receptor RXR-beta-A OS=Danio rerio OX=7955 GN=rxrba PE=2 SV=1 MGDSRDSRSPDSSSVSSPPSGQRSPPLAPSAAAMTSLPPITSAVNSPISSMGSPFSVISSSLGSPCLPGTPSVGYGPISSPQINSTVSMSGLHAVSSSDDVKPPFGLKPLSSHSPGPMVSQKRLCAICGDRSSGKHYGVYSCEGCKGFFKRTVRKDLSYTCRDNKDCLVDKRQRNRCQYCRYQKCLAMGMKREVVQDERQRSVQEERQRNKERDGEVESSSAANEEMPVEKILEAEMAVEQKTELHADGSSGGSSPNDPVTNICQAADKQLFTLVEWAKRIPHFSELSLDDQVILLRAGWNELLIASFSHRSITVKDGILLATGLHVHRNSAHSAGVGAIFDRESAHNAEVGAIFDRVLTELVSKMRDMQMDKTELGCLRAIILFNPDAKGLSSPSEVELLREKVYASLEAYCKQRYPDQQGRFAKLLLRLPALRSIGLKCLEHLFFFKLIGDTPIDTFLMEMLEAPHQLT