P72772 AF NFT

Magnesium-chelatase subunit ChlD

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiejauxpntlzqnld5oinrgsy43kagtlddzgm647ahfxwczj32kgf4q/metadata.json
IPFS of structure file: 
bafybeiesowa2y7jlhswudzhzcvuyrxiyxw5bkrjclqda4cgb5cpgjutpaq/AF-P72772-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7782F4817b37743d738e9aF842bf74bd50f2015E
First NFT owner address (bech32): 
genesis1w7p0fqtmxa6r6uuwntuy90m5h4g0yq27nqe34a
Current NFT ID #62204 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
62204
Accession (UniProt):
P72772
Name::
Magnesium-chelatase subunit ChlD
Experimental Method:
Predicted structure
Sequence source:
SYNECHOCYSTIS SP. (STRAIN PCC 6803 / KAZUSA)

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 P72772 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P72772|CHLD_SYNY3 Magnesium-chelatase subunit ChlD OS=Synechocystis sp. (strain PCC 6803 / Kazusa) OX=1111708 GN=chlD PE=3 SV=1 MTTLTPFIPLNFPITAIVGQEAIKLALLLGAIDPGLGGIVIAGRRGTAKSVMARAIHTLLPPIEIIKGNRYQCDPKNPGSWDDDTLEKFADVPLDQLETQVIPAPFIQIPLGVTEDRLLGSVDVEKSVKQGEAVFQPGLLAQAHRGVLYIDELNLLDDQIANQLLTVLTEGKNQIEREGMSFQHPCQPLLIATYNPEEGPLRRHLLDRIAIALSADGILGLDQRVAAVDQVLAYADSPISFIDQYDAELDDLKTTIILAREWLKEVSLTPEQVSYLVEEAIRGGLQGHRGELFAMRVAKAIAALDGRSDVQADDLRQAVELVIVPRSVLMDNPPPPEQAPPPPPPPQNQDEGKDEQEDQQDDKEDDKDNEPEAEQDPPSIPEEFIFDPEGVSLDPSVLYFAQMAQKQGKSGSRSVIFSDDRGRYLKPILPKGKVRRIAVDATLRAASPYQKSRRLRHPDRQVIVEQGDIRGKKLVRKAGALIVFLVDASGSMALNRMQAAKGAVMQLLTEAYENRDQVSLIPFQGENAEVLLPPTRSIAMAKKRLETLPCGGGSPLSHGLMQAVNVGMNAKRSGDIGQVVIVAITDGRGNIPLARSLGDEIPEGEKPDIKAELLEIAAKIRGLGMQLLVINTEKKFVSTGFGKELAQKAGGKYYQLPKATDQGIASMARQAIADMQ