Q3V0L5 AF NFT

Leucine-rich repeat-containing protein 43

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifberi2heimnujgmo2h7hpzmu2v2knnvcmjphi3axchzhdaylwxzq/metadata.json
IPFS of structure file: 
bafybeidrshe6znnqfasitpuwcnt53lopdcnqgld2zb6bexlm3a4ge5qe3e/AF-Q3V0L5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x25d67f69538640eEDBFd42f11F29d5294A1E01dB
First NFT owner address (bech32): 
genesis1yht8762nseqwaklagtc372w4999puqwmn70mre
Current NFT ID #219689 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
219689
Accession (UniProt):
Q3V0L5
Name::
Leucine-rich repeat-containing protein 43
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q3V0L5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3V0L5|LRC43_MOUSE Leucine-rich repeat-containing protein 43 OS=Mus musculus OX=10090 GN=Lrrc43 PE=2 SV=1 METSESSTSDYRQTEGEGEGVPGTLSTAVCEHLRKLCLREFPCGIGSWNKSRFLPQKCRVWRELVPKEEETLVPEEETVEALLGLVRSNHSPWAMLKDASAEDRFLRELAIQNPLMIKDTFFYSYFRSLRVVNKGVSLVDKDLLKFLKLEELVLSANKIEEIDANNLPPTLKVLELYGNLIASMECLCSAPPPRLQHLGLGHNKLLGPLESLYVTSHNWPQLVSLDLGFNNLTDLQNMILGLSTLRHLRLLVLQGNPLSLVPYYRGFTIDSLAHLCVLDDITVSPNEKHQFRGLNIHGDLLAREAQFVVTIGNVRGVLDSSILDPEPGPDGPFISYSYYVTYDFVEDEDMERNVSGLVEATHHDSVLDEIDKHFSGTDEEDQQEDPLDGRHRHRGRQRFHPGSTEEMSKELSEFIAKEMSQMAEGSVESGITEVDWSETSISIHSAPLPQSIDSSEELAKLRPKIDIQLCPSPGTVLFNTVHKPWSDVIPCTYEMKHTLKELIRVKAFLLAGTTVSIVEEKILSWPVVPTPVESPLPAKKGKDNNKKKEPAKDKVHKKKKEPPRELRQDPPVLTVLGSGLVYLEPLLAGEAVVSTVCNFGVVRTLETDRLTHARDSKKVKKSLKKDRSKTVPPTMESGYQPEPLSVEVQIQLHQYRSVEEAFLSLID