Q9PTN2 AF NFT

Vitamin D3 receptor A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiesdnajxth7t6lclljdddeueixmtakd7afqyxjs3j76f6sjurl3yu/metadata.json
IPFS of structure file: 
bafybeifpagaaofuvhjednwghg5tqiue3uo26an2iyufpq32nqrnmo2nqym/AF-Q9PTN2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF
First NFT owner address (bech32): 
genesis1huxjuyruu8kd93pknvzzyapqrkm3n240z6jrgl
Current NFT ID #495991 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
495991
Accession (UniProt):
Q9PTN2
Name::
Vitamin D3 receptor 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 Q9PTN2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9PTN2|VDRA_DANRE Vitamin D3 receptor A OS=Danio rerio OX=7955 GN=vdra PE=1 SV=2 MLTENSAVNSGGKSKCEAGACESRVNGDATSVMDLMAVSTSATGQDEFDRNAPRICGVCGDKATGFHFNAMTCEGCKGFFRRSMKRKASFTCPFNGNCTITKDNRRHCQACRLKRCIDIGMMKEFILTDEEVQRKKDLIMKRKEEEAAREARKPRLSDEQMQIINSLVEAHHKTYDDSYSDFVRFRPPVREGPVTRSASRAASLHSLSDASSDSFNHSPESVDTKLNFSNLLMMYQDSGSPDSSEEDQQSRLSMLPHLADLVSYSIQKVIGFAKMIPGFRDLTAEDQIALLKSSAIEIIMLRSNQSFSLEDMSWSCGGPDFKYCINDVTKAGHTLELLEPLVKFQVGLKKLKLHEEEHVLLMAICLLSPDRPGVQDHVRIEALQDRLCDVLQAYIRIQHPGGRLLYAKMIQKLADLRSLNEEHSKQYRSLSFQPEHSMQLTPLVLEVFGSEVS