Q1CA72 AF NFT

Cytidylate kinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigfjmu3s7b4nhvcmzy7xkgsddeh3ii4tmvpq4uq5tsppdoyl5e7fy/metadata.json
IPFS of structure file: 
bafybeigh3t2wktnbuqnuektqtqhqezxnrsv7jvwur2ytfg75eivwwsiscm/AF-Q1CA72-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x11660B6378FB4Fb96fb7661ce3797785a932fe28
First NFT owner address (bech32): 
genesis1z9nqkcmcld8mjmahvcwwx7thsk5n9l3gm47jem
Current NFT ID #200206 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
200206
Accession (UniProt):
Q1CA72
Name::
Cytidylate kinase
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Antiqua)

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 Q1CA72 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1CA72|KCY_YERPA Cytidylate kinase OS=Yersinia pestis bv. Antiqua (strain Antiqua) OX=360102 GN=cmk PE=3 SV=1 MTAIAPVITVDGPSGAGKGTLCKALAESLNWRLLDSGAIYRVLALAALHHQVDISTEEALVPLAAHLDVRFVSQNGQLQVILEGEDVSNEIRTETVGNTASQAAAFPRVREALLRRQRAFREAPGLIADGRDMGTIVFPDAPVKIFLDASSQERAHRRMLQLQERGFNVNFERLLAEIQERDNRDRNRSVAPLVPAADALVLDSTSMSIEQVIEQALAYAQRILALPLKK