Q2LK95 AF NFT

Collectin-10

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiblfdp2gho7prdymscfgwmu3mjfqhfa27mwtyeya5tuair2xg4aw4/metadata.json
IPFS of structure file: 
bafybeicl5d3n3xpy6kszuo6542l46meri6ttzv5jz3lbvx7iyrpcaryexa/AF-Q2LK95-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF4EC0fe53C43EE0EE04DB57DdD18d2d638Dd380A
First NFT owner address (bech32): 
genesis17nkqlefug0hqaczdk47a6xxj6cud6wq24fafn4
Current NFT ID #72140 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
72140
Accession (UniProt):
Q2LK95
Name::
Collectin-10
Experimental Method:
Predicted structure
Sequence source:
GALLUS GALLUS

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 Q2LK95 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2LK95|COL10_CHICK Collectin-10 OS=Gallus gallus OX=9031 GN=COLEC10 PE=2 SV=1 MSRKKEQQLRKYGTLVVLFIFQVQIFGFDVDNRPTTDVCSTHTILPGPKGDDGEKGDRGEVGKQGKVGPKGPKGNKGTVGDVGDQGMLGKIGPIGGKGDKGAKGISGVSGKKGKAGTVCDCGRYRRVVGQLNINVARLNTSIKFVKNVIAGIRETDEKFYYIVKEEKNYREALMHCRDRGGTLAMPKDEVTNALLADYISSSGLFRAFIGLNDMEKEGQFVYADSSPLQNYSNWKDGEPHDSTGHEDCVEMLSTGEWNDSECQVTIYFICEFLKKRK