Q80X80 AF NFT

Phospholipid transfer protein C2CD2L

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiefubakgcnqaflxxm72ni3e33v7flfw6yu35ohdxcoax4lu2dncdq/metadata.json
IPFS of structure file: 
bafybeiey5nyu5ouwhnc5l7jaod4g6xudniuklibnu7677xfxwo3irz2y54/AF-Q80X80-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6F1477A7ba7b4D12E5dE4da4526a61F2AFaa8749
First NFT owner address (bech32): 
genesis1du280fa60dx39ew7fkj9y6np72h64p6f44g6my
Current NFT ID #47830 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
47830
Accession (UniProt):
Q80X80
Name::
Phospholipid transfer protein C2CD2L
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 Q80X80 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q80X80|C2C2L_MOUSE Phospholipid transfer protein C2CD2L OS=Mus musculus OX=10090 GN=C2cd2l PE=1 SV=3 MDPDWGQRDVGWAALLVLFAASLITVLGWMLQYARGLWLSRADGGRDSRPASAAEPGGSLRELGVWRSLLRLRATRTSTPEEAGVRGLLASLFAFKSFRENWQRAWVRALNEQACRDGSSIQIAFEEIPQLPPRASISHVTCVDQSERTMVLHCQLSAEEVRFPISVTQQSPAAVSMETYHVTLTLPPTQLEVSLEEIPDEGLLVSWAFTDRPELSLKVLPKLQTRERDEEQPELSTVEELIKDAIVSTQPAMMVNLRACSAPGGLVPSEKPPTMSQAQPSIPRPTRLFLRQLRASHLGSELGGTEELCCAAELDNPMQQKWTKPMRAGPEVEWTEDLALDLGPQSRELTLKVLRSSSCGDAELLGQATLPVGSPSRPMSRRQVCPLTPGPGKSLSPAATVTAELHYEQGSPRNLGTPTSSTPRPSITPTKKIELDRTIMPDGTVVTTVTTVQSRPRVDGKLDSPSRSPSKVEVTEKMTTVLSESSGPSNASHSSSRESHLSNGLDPVAETAIRQLTEPSGRAAKKTPTKRSTLIISGVSKVPIAQDELALSLGYAASLEASMQDDAGTSGGPSSPPSDPSATSPGPVDALSSPTSVQEADETTRSDISERPSVDDVESETGSTGALETRSLKDHKVSFLRSGTKLIFRRRPRQKEAGLSQSHDDLSNTTATPSVRKKAGSFSRRLIKRFSFKSKPKANGNPSPQL