Q6BUA6 AF NFT

Nuclear distribution protein PAC1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigayzcqktv5kijibxjoqpwdxswsp5lohk6asex5mgjwnlp5xefaqy/metadata.json
IPFS of structure file: 
bafybeie2pzagjc3areb2bqdggn3yunjwq5jomd5vmz4xzilh6hoc5bmcmq/AF-Q6BUA6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x57A14A71dA98775FF2ecea0c86d95c44AEbd1B3b
First NFT owner address (bech32): 
genesis127s55uw6npm4luhvagxgdk2ugjht6xemyd8sqm
Current NFT ID #215262 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
215262
Accession (UniProt):
Q6BUA6
Name::
Nuclear distribution protein PAC1
Experimental Method:
Predicted structure
Sequence source:
Debaryomyces hansenii (strain ATCC 36239 / CBS 767 / BCRC 21394 / JCM 1990 / NBRC 0083 / IGC 2968)

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 Q6BUA6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6BUA6|LIS1_DEBHA Nuclear distribution protein PAC1 OS=Debaryomyces hansenii (strain ATCC 36239 / CBS 767 / BCRC 21394 / JCM 1990 / NBRC 0083 / IGC 2968) OX=284592 GN=PAC1 PE=3 SV=2 MLQPQILTARQQQELNKAIIQYIKPIAEEANDGDLIQKLSESLDVPLGSIDDSVIPNYLEKKWSTVLRLQHKIIDLEGEVSNLRTVIDSQQIVPSASASVIGKDKINWLPSSSIKAFKTQSHQLVQSVSIHPALPIILGGCSDGSLIIWNLVNDESLIPEKIIKAHIRGVNTIAWSKKPVDLSGKGSEAKGIAHVMATCSSDLSIKIWDGATFKHIRTLTGHEHTISSIVFSASKPNILYSVSRDKSVKVWDLVNGYCIKTFIGHSDWVRDIDVISVNSNLLQEQSDINPELGDFLVTCSNDQSIRLSHAESGTGLSLSIGHTHVIECVKFLPFHSNYIIDKYIKENESLFPNISPEVLDDPNYTNLLGYKYCISGGRDNSVKLWLLPPPVFRPHRHPLPSQLNNSQGWLIADLVGHQSWVKSLHIHPNGRFVFSGSDDKTIKIWDLSSLNVNGRVKCVKNLIGHEGFVNDIEFASFEITNNIHASKTADDGKTKTEEDRRNELMKSIESKIRCLFISGGVDNCIRLWS