Q487A4 AF NFT

Isocitrate dehydrogenase kinase/phosphatase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib33dwqoh6lrk5r55l3syfp3lcdmsvsunmkpbokhs3j6zudg75kaa/metadata.json
IPFS of structure file: 
bafybeiarbqiyccgpcfy554h4dsiss7wchm3jerglp5qh4kqdz5l4owmlbq/AF-Q487A4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x56b3ab1d497388E497618145205887Be58924894
First NFT owner address (bech32): 
genesis126e6k82fwwywf9mps9zjqky8hevfyjy5rfd2ll
Current NFT ID #5617 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
5617
Accession (UniProt):
Q487A4
Name::
Isocitrate dehydrogenase kinase/phosphatase
Experimental Method:
Predicted structure
Sequence source:
COLWELLIA PSYCHRERYTHRAEA (STRAIN 34H / ATCC BAA-681)

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 Q487A4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q487A4|ACEK_COLP3 Isocitrate dehydrogenase kinase/phosphatase OS=Colwellia psychrerythraea (strain 34H / ATCC BAA-681) OX=167879 GN=aceK PE=3 SV=1 MKDELALTIANTIINGFERHFAIFTEITQSARNRFQQCQWNEIHRSARARTNFYDERVKETFNDIKEDFNISSLDDALWQRVKAVYSDLLINHKQPELAETFYNSVFCHLFERKYYHNDYIYVESTAHRLDDKTQPEIYTSYQPKELGLKQTICDIMNSHRTVIPFEDLDRDVDALINTFRRKAHKTRVKLEDLKFDILNFTFYRNKGAYLIGRVLSPAGETPFIIAVLNNEKGGLYIDALLTSSESMAVVFGFARAYFFVDCEHPYALVNFLQGLMPHKTKADLYSAIGFHKQGKTQFYRDFLNHLDSSDDQFELAAGIKGMVMSVFTLPSYPYVFKIIKDKFSPSKNITKKDVKGKYRLVKLHDRVGRMADTMEYSEVAFPKSRFNDELLAELQKVAPSIIRYEGEGEEALIIIEHLYIERRMVPLNLYLMDALKNKAQQKIDDALFGYGQAIKQLISADIFPGDMLLKNFGVTRHGRVIFYDYDEIAYMNEINFRVKPKAVTEEQLYAAEPWYSVMPGDMFPEELATFALANPSYLKAFKIHHEDLLTAAYWQQCQQDVANGIYKDVFPYPDKYRFCNLSFGSIKR