Q8GUU3 AF NFT

Cleavage and polyadenylation specificity factor subunit 3-II

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifcmrzjm2tnmgrs4xzl3dleiepz6swsrb7sb7mzuv5hqzzfboue6i/metadata.json
IPFS of structure file: 
bafybeig3ngftuawmf2ogxyu2pfuwxbtlo6xc26rikycg3m5cfdk6kceyim/AF-Q8GUU3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9C1d9684E0Dac12a3E69D82455a213DfEC3CD43e
First NFT owner address (bech32): 
genesis1nswedp8qmtqj50nfmqj9tgsnmlkre4p7hdnm78
Current NFT ID #75833 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
75833
Accession (UniProt):
Q8GUU3
Name::
Cleavage and polyadenylation specificity factor subunit 3-II
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q8GUU3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8GUU3|CPS3B_ARATH Cleavage and polyadenylation specificity factor subunit 3-II OS=Arabidopsis thaliana OX=3702 GN=CPSF73-II PE=1 SV=2 MAIDCLVLGAGQEIGKSCVVVTINGKKIMFDCGMHMGCDDHNRYPNFSLISKSGDFDNAISCIIITHFHMDHVGALPYFTEVCGYNGPIYMSYPTKALSPLMLEDYRRVMVDRRGEEELFTTTHIANCMKKVIAIDLKQTIQVDEDLQIRAYYAGHVLGAVMVYAKMGDAAIVYTGDYNMTTDRHLGAAKIDRLQLDLLISESTYATTIRGSKYPREREFLQAVHKCVAGGGKALIPSFALGRAQELCMLLDDYWERMNIKVPIYFSSGLTIQANMYYKMLISWTSQNVKEKHNTHNPFDFKNVKDFDRSLIHAPGPCVLFATPGMLCAGFSLEVFKHWAPSPLNLVALPGYSVAGTVGHKLMAGKPTTVDLYNGTKVDVRCKVHQVAFSPHTDAKGIMDLTKFLSPKNVVLVHGEKPSMMILKEKITSELDIPCFVPANGETVSFASTTYIKANASDMFLKSCSNPNFKFSNSTQLRVTDHRTADGVLVIEKSKKAKIVHQDEISEVLHEKNHVVSLAHCCPVKVKGESEDDDVDLIKQLSAKILKTVSGAQIHESENCLQVASFKGSLCLKDKCMHRSSSSSSEAVFLCCNWSIADLELGWEIINAIKLNH