B3Q986 AF NFT

Isocitrate dehydrogenase kinase/phosphatase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicu7tcknzpkrtsraqq73r7ggg37pyffn7e36rv3gifnovqjjmufrm/metadata.json
IPFS of structure file: 
bafybeiawwkdacsxxyluvk7mes5fqwmaynbzsinya2dsdmn74ws5ryfp2iq/AF-B3Q986-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF
First NFT owner address (bech32): 
genesis1huxjuyruu8kd93pknvzzyapqrkm3n240z6jrgl
Current NFT ID #5679 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
5679
Accession (UniProt):
B3Q986
Name::
Isocitrate dehydrogenase kinase/phosphatase
Experimental Method:
Predicted structure
Sequence source:
Rhodopseudomonas palustris (strain TIE-1)

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 B3Q986 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B3Q986|ACEK_RHOPT Isocitrate dehydrogenase kinase/phosphatase OS=Rhodopseudomonas palustris (strain TIE-1) OX=395960 GN=aceK PE=3 SV=1 MTATASHTRARPLGASEIEHATRIAEPDFDLLDALYRTDDPDDQARLLARVVLSAFDNYYAVSRRIPALAQAAFEARDWPVTVRLSKIRIGLYTACIDQLVPLLKAGLPELTTDEQLWPTAEAELLAAIEGRYEADFAFAFWQSLRRKLVSDEWRPVSYDAGSTARRTTSPAAVLKTTTTTLPITAEVIAGILGDAGFRVPWRDRDGDAALAAQAIETALEPLSPRPGEPVKIEIADAGFFRNRGACLVGRIQLRDRGDMPMRNLPLLIALLNEKDGLVVDAVLTDSDELQYAFSSTLANYHATNPRYHELARLLYELMPKRPLGTQYSCIGFHHLGKVAVMSEILAEHRKTKERLATAPGFKGTVAIAFTMPSSAYVLKIIRDHPTDDYKFDYFDGLDEVLRKYNLVHEIDRAGSMLDNIIYSNVKLDRAMFAPELLDELLEAGIGTVTLDRGALVFRHLIVQIKLTPLPLYLANASAAESRAAVINLGDCIKNNAAADIFNKDLDGRNYGVSRIRKVYLFDYDAVEPLTSVTVSRDGAAPGEFDNGMVFRPQEMLEGLRIDDPGLRRAFRDAHPELMQADYWEGMQRALRDGKVPKVMNYPASRRLQR