C2M262 AF NFT

Dipeptidyl-peptidase 7

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiafe2l26xs7npfnhdloc7xvw6kcitcoaocvyvbweu42fajmsfkyey/metadata.json
IPFS of structure file: 
bafybeifadaqydvkgsp5jwflyccsjrvqstfgkuewlv37dr4cxyz2hveaq5y/AF-C2M262-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2bC4A2947aE02D2833F24FC6f8766d0bb350Cb94
First NFT owner address (bech32): 
genesis190z299r6uqkjsvljflr0sandpwe4pju5fuwfg0
Current NFT ID #104605 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
104605
Accession (UniProt):
C2M262
Name::
Dipeptidyl-peptidase 7
Experimental Method:
Predicted structure
Sequence source:
CAPNOCYTOPHAGA GINGIVALIS

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 C2M262 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C2M262|DPP7_CAPGI Dipeptidyl-peptidase 7 OS=Capnocytophaga gingivalis OX=553178 GN=dpp7 PE=1 SV=1 MRKLIFSLVTSFFLLLPSVIRADEGMWFLMFIKRLNERDMQKKGLQLTAEEIYSINNNSLKNAIVQFNGGCTASIISPDGLVITNHHCGYGAIAGLSTPEHNYLKDGYWAKDRSQELPPKSLYVRFFVRMDNVTDRMLSVVNSSMSEKERQDALNREMEKIQKENSEGGKYVVSVRPFFQGNEYYYFVYQDFKDVRFVGTPPENVGKFGGDTDNWEWPRHTGDFSVFRVYTDKDGNPAPYSPNNIPMKAKKYLNVTLKGVQENDFAMILGYPGRTNRWVSSHWVDQQVKYGYPAWVEASKTAMDAMKAHMDKDKAVRLKYASRYASLANYWKNRQGMIDALTAHKTADLKRAAEKKFAVWANKPENKAEYGNVLSDLATYFEKTNQEAANHNYLLLFFRASRIVPQANGYVKQLNTYLNSSSDQEKQQIRERIAKELDAYYSESYLPAEIDLFADNLKLYADKATDIPQEIAQIKSQYNGDFRKFAAEVFARSIFTTKENFENFMNNPSSDALQSDPIAQIARVMIDKYYNSQSEALKDGYEKAFRKYVKGMRDSKVSLILYPDANSTLRLTYGSVKSLPKDKRNHDVKRNYYTTFKTMLEKYKPGDAEFDMPKKFVEMYEKKDFGRYLDKDGTMHVCFLTNNDITGGNSGSPVMNGKGELIGLAFDGNIEAMAGDVIFDKKLQRTIVVDIRYVLWCIDTFGGAKHIVDEMTIIQ