Q6PGX3 AF NFT

Leucine-rich repeat and fibronectin type III domain-containing protein 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigqnnzlpl4nf7u2vianoa6f5z3ocq3abgr43jgy6uoswam6m6ev7y/metadata.json
IPFS of structure file: 
bafybeigr2n6nbqeztu4nkheffcghjvobidqeu6uox4moseld3ok6qb7nfa/AF-Q6PGX3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x22F6EB540e0Df2CeE21099Ba0563dE8C1f0D8763
First NFT owner address (bech32): 
genesis1ytmwk4qwphevacssnxaq2c773s0smpmrz7pwpk
Current NFT ID #219793 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
219793
Accession (UniProt):
Q6PGX3
Name::
Leucine-rich repeat and fibronectin type III domain-containing protein 1
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 Q6PGX3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6PGX3|LRFN1_DANRE Leucine-rich repeat and fibronectin type III domain-containing protein 1 OS=Danio rerio OX=7955 GN=lrfn1 PE=2 SV=1 MERLVFCVLVFGALAKAQLCPGRCICQTISPTLTLLCAKTGLLFVPPTVDRKTVELRLTDNFITAVRRKDFLNMTSLVHLTLSRNTISQIAPHAFMGLKSLRALHMDGNRLSVINSDQLKGLMNLRHLILGNNQIHHIEESSFDEFVATIEDLDLSYNNLRTLPWEAIARMTNINTLTLDHNLIDHIGVGTFTLLTKLVRLDMTSNRLQTLPPDTLFQHAQVLSEPKTSSSSRLTVSFGGNPLHCNCELLWLRRLTREDDLETCASPEHLMDKYFWSIQEEEFICEPPLITKHQVTKPYVMEGQGVTLKCKAMGDPDPAIHWRFPDGKLVHNNSRTILYDNGTLDILITTLKDSGAFNCVASNAAGIATAAVHVHMIPLPLLVNNTGHMREADPGLSDISTSSRSSSNDSKTHSKRVLVENLTAHSAVIHWPSERHIPGIRMYQIQYELCVLAVYDDGITSLTATRVVGCVHFHTLPETNQCRFVPSQFLGGTMIIIIGGIIVASVLVFIIILMIRYKAYSGGGGDTAKAKAGGDVSVHVHSQTNGSRSAATKQSEEPPESPAGKHCKALVLLKMVLPILHLLF