P80197 AF NFT

Actin-fragmin kinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibvz2kuv7mf46hokwivoepshy64bqzkz4aciwubc4b6mgkdllngtm/metadata.json
IPFS of structure file: 
bafybeifnq6xkwtszryfedvtyshhb4irqq3gkc22d7cqjtzfqdfl3cci2uq/AF-P80197-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x738c1929c69B751bD0Be0B962D9bac20B631aAc6
First NFT owner address (bech32): 
genesis1wwxpj2wxnd63h597pwtzmxavyzmrr2kx0xhph5
Current NFT ID #10946 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
10946
Accession (UniProt):
P80197
Name::
Actin-fragmin kinase
Experimental Method:
Predicted structure
Sequence source:
PHYSARUM POLYCEPHALUM

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 P80197 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P80197|AFK_PHYPO Actin-fragmin kinase OS=Physarum polycephalum OX=5791 PE=1 SV=2 MAGALWEIEKELFTKLPAPSSAINSHLQPAKPKVPQKKPSKWDPPAEFKVDLSTAVSYNDIGDINWKNLQQFKGIERSEKGTEGLFFVETESGVFIVKRSTNIESETFCSLLCMRLGLHAPKVRVVSSNSEEGTNMLECLAAIDKSFRVITTLANQANILLMELVRGITLNKLTTTSAPEVLTKSTMQQLGSLMALDVIVNNSDRLPIAWTNEGNLDNIMLSERGATVVPIDSKIIPLDASHPHGERVRELLRTLIAHPGHESSQFHSIRDIITLYTGYDVGTEGSISMQEGFLATVRECASFDLDAFERELLSWQESLQKCHNLSISPQAIPFILRMLRIFHDAIHNPSPSSPSPSPSSSSSTSHPTPASSSTSSTLPSSIPSSSNTSPPPASSSESLVGVEECAWLKVVVPNEKPAPRRYHSGVLYEGKLYVFGGVCIKTASNDFYVFDFAKKKWSIVVAQGEAPSPRCGHSATVYGGKMWIFGGHNNNKQPYSDLYTFDFAKSTWEKIEPTKDGPWPSPRYHHSATLVGASLYIFGGAEHKSKYHNDVYVYKFDANQWELLNATGETPEPRAGQMTVEWNNSLFTFGGHGGEGGYTSFVDAHVFEIATNTFHEVDCSGTFPRTARPLSYVPYYYGSGDKREGAVFSFGGSDGKSPLGSLYQWNLKTHKWKIIKAWMAVEDNTIGSMAAIASGKLDPIPRYGHCTVLDDTGVISIFGGSGSLFLDDIVQFDMTES