A7FDG2 AF NFT

Isocitrate dehydrogenase kinase/phosphatase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicc4np6mhzdeh2t53n64v5rbeuuk7evvgtkswsylxgouymu7mhzpm/metadata.json
IPFS of structure file: 
bafybeiazlyq5qlk5jrup5fee7sffz4fpa26l6llsyapyexm25tstgrugry/AF-A7FDG2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc0eFF0ad418B334150E096a4D0035ef34798A93d
First NFT owner address (bech32): 
genesis1crhlpt2p3ve5z58qj6jdqq677dre32fa27qmk5
Current NFT ID #5702 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
5702
Accession (UniProt):
A7FDG2
Name::
Isocitrate dehydrogenase kinase/phosphatase
Experimental Method:
Predicted structure
Sequence source:
Yersinia pseudotuberculosis serotype O:1b (strain IP 31758)

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 A7FDG2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7FDG2|ACEK_YERP3 Isocitrate dehydrogenase kinase/phosphatase OS=Yersinia pseudotuberculosis serotype O:1b (strain IP 31758) OX=349747 GN=aceK PE=3 SV=1 MVAKLEQLIAQTILQGFDAQYGRFLEVTAGAQHRFEQADWHAVQQAMKKRIHLYDHHVGLVVEQLKYITDQRHFDVEFLARVKEIYTGLLPDYPRFEIAESFFNSVYCRLFKHRDLTPDKLFVFSSQPERRFREIPRPLARDFIPKGDLSGMLQMVLNDLSLRLHWENLSRDIDYIVMAIRQAFTDEQLASAHFQIANELFYRNKAAWLVGKLRLNGDIYPFLLPIHHNESGELFIDTCLTSKAEASIVFGFARSYFMVYVPLPAAMVEWLREILPGKSTAELYTAIGCQKHGKTESYREYLAFIHQSSEQFIIAPGVKGMVMLVFTLPSFDRVFKVIKDQFAPQKEVTQARVLECYQLVKEHDRVGRMADTQEYENFVIDKHRISPELLAELQHEVPEKLEDLGDKIVIKHLYMERRMTPLNLYMEQADDQQLKDAIEEYGNAIKQLAAANIFPGDMLFKNFGVTRHGRVVFYDYDEICYMTEVNFRDIPPPRYPEDEMASEPWYSVSPNDVFPEEFRHFLCSDRKVRHFFEEMHGDLFQASYWRGLQQRIRDGHVEDVFAYRRKQRFSQRALN