Q6AYL8 AF NFT

Leucine-rich repeat and IQ domain-containing protein 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihgml57devxlwnokjfn34fczyfuh67bm37htup3tvfr5frlu7ky6u/metadata.json
IPFS of structure file: 
bafybeigfyzfmhs2np2zez75mrztj5rxtjnf4klxezqsq5bih2s3i7qtnge/AF-Q6AYL8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4eB83b6340c032CC7AcdbC262D37E9627F422205
First NFT owner address (bech32): 
genesis1f6urkc6qcqevc7kdhsnz6dlfvfl5ygs9kgldax
Current NFT ID #219895 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
219895
Accession (UniProt):
Q6AYL8
Name::
Leucine-rich repeat and IQ domain-containing protein 3
Experimental Method:
Predicted structure
Sequence source:
RATTUS NORVEGICUS

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 Q6AYL8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6AYL8|LRIQ3_RAT Leucine-rich repeat and IQ domain-containing protein 3 OS=Rattus norvegicus OX=10116 GN=Lrriq3 PE=2 SV=1 MFHGTITKELTSHEEWSHYNENIVEDQKDFVFVKYNGLHLKSMENLQSCISLRVCIFSNNFVTDIQPLQGCKKLIKLDLHGNQIKTLPDRTFWNGLKNLKLLYLHDNGFAKLKNICVLSGCVNLVGLTMFDCPVSLKKGYRHVLVNSIWPLKALDHHVISDEEIIQNWHLPERFKTFSQSLFFNICPAPIKGTTYEDEIKNIKHIISRINEILAHNSPVLIIQRWIRGFIVRKHLSPYFTRKRHHDRMIRVLETKLICIGRNNEDKFLEDIFLIKPESNIKGKVAHWKQMRYSPDDFKYSTEYRKHISCLSYELKTKDIAGNSKQPRHHIQKGQNEMKSDSEDEEVDTKFRISAMKIPLCPSRSLKYRAMLKEIKWDYFPEYLQPLPATRQKPQVKRETHEELKERRNFLASQRAGMDLHLFNDIDKYYSEQRQQEEEARKFAATAAAQVAQERARLNTSENLRKKISMARKLMQKDNETIQKGLRHIWKERLNYLEKVRERKSMFLAEKKLNAADQSLVLSLNNERSILLRGIIQVDKLKRDLSEMKAKHFDVIEKREKRKYKQNLLTEMKKLRAEEIHKRHCEERFVIDTLIFQKGCERLEEAKAKVEFINTYYTSKSHKKYHNKTMLNHI