F1QLY4 AF NFT

Nuclear receptor ROR-alpha A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeice6lof7yytgfkeu4du32po2b4nijhfibpypj24cairhltdmwv2ki/metadata.json
IPFS of structure file: 
bafybeiefl22sww5vetcoatbvbdecxdpej5oy4pccl25skqi6q7wzfnk34q/AF-F1QLY4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xCeCD2814d417eBBa0C46f29c45070f45487A6BBB
First NFT owner address (bech32): 
genesis1emxjs9x5zl4m5rzx72wy2pc0g4y856am64sc2v
Current NFT ID #384672 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
384672
Accession (UniProt):
F1QLY4
Name::
Nuclear receptor ROR-alpha 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 F1QLY4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|F1QLY4|RORAA_DANRE Nuclear receptor ROR-alpha A OS=Danio rerio OX=7955 GN=roraa PE=2 SV=2 MMYFVISAMKAQIEIIPCKICGDKSSGIHYGVITCEGCKGFFRRSQQSNAAYSCPRQKNCLIDRTSRNRCQHCRLQKCLAVGMSRDAVKFGRMSKKQRDSLYAEVQKHRLQQQQRDHQQQPGEAEPLTPTYGLSTNGLTELHDDLSGYMNGHTPDGTKPDSGVSSFYLDIQPSPDQSGLDINGIKPEPICDFTPGSGFFPYCSFTNGETSPTVSMAELEHLAQNISKSHMETCQYLREELQQMTWQAFLQEEVENYQSKPREVMWQLCAIKITEAIQYVVEFAKRIDGFMELCQNDQIVLLKAGSLEVVFVRMCRAFDPQNNTVYFDGKYAGPDVFKSLGCDDLISSVFEFGKNLCSMHLSEDEIALFSAFVLMSADRSWLQEKVKVEKLQQKIQLALQHVLQKNHREDGILTKLICKVSTLRALCSRHTEKLTAFKAIYPDIVRAHFPPLYKELFGSDFEQSMPVDG