P0CM77 AF NFT

mRNA cleavage and polyadenylation factor CLP1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif4zgoswzdzp5kkougofqx5jpikjihcs2dnrd2ostqqxrgtquqoja/metadata.json
IPFS of structure file: 
bafybeiblz6yxepp2r4f2eou7heti6rso7mmvxk6vzgidbspc7yxmk3ocfu/AF-P0CM77-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF24817C5206766671639b7d5b9Dca77a7dDef039
First NFT owner address (bech32): 
genesis17fyp03fqvanxw93ekl2mnh980f7aaupeyqna3d
Current NFT ID #65178 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
65178
Accession (UniProt):
P0CM77
Name::
mRNA cleavage and polyadenylation factor CLP1
Experimental Method:
Predicted structure
Sequence source:
Cryptococcus neoformans var. neoformans serotype D (strain B-3501A)

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 P0CM77 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0CM77|CLP1_CRYNB mRNA cleavage and polyadenylation factor CLP1 OS=Cryptococcus neoformans var. neoformans serotype D (strain B-3501A) OX=283643 GN=CLP1 PE=3 SV=1 MAEQQTTELTNIDLEAGSEWRFELEADENIALRTLSSDPVFINSQELTPSAWYPIYRHTKSALYAPTSARIQVTNLPASHYTSTSTVQPQLLNLHLAMERQRILSKRGMEQRGPRVMIMGPQSSGKTTVMKNLVNLALGTGMGWTPGAIGLDPSSPPNLIPGSLSISTPSHPIPTHHLAHPLGSPPASTAANTISGDVETASWWLGALEPTNKNAEVWRVLVEHMAEAWGMRCEKDKIANISGLFLDTPAAFTVPTLGTKKDDPKARYTLVSHAIQAFDIDTIIVIGHEKLHIDLSRLPLVQSRQLNVIRIPKSGGAVDLDDHDRETAHIFQVRTYFYGEPPLPPQISSLVGKMVSLDFELSPYSFQIPWSRLVVLRVGEENSAPSSALPLGSSKILSPLRLTRVDPSGPGHVVRLLNRVLALVDVKPEDRIVPAKESEVKEEVKEEKNEKDGEIKQDGEGEKKGEGKGEGEGEGEGKYGEEEGEAEGEDDEEEVPFREEIGTREVMGFIVITAIDTFARKYTVLSPTPGRLPTTVAIAGAIEWVDSA