A0K6D2 AF NFT

Polyphosphate kinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihcykdh4b3zcnxdhiqt5q3xix3barcx5cc2arupgviuqb4lqqysf4/metadata.json
IPFS of structure file: 
bafybeic6hpzub42l6apy66tj6jfvoteaxgw5nqswblao5gdjwefishjvd4/AF-A0K6D2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc37553510AF54A525B538737FFC93Ac86C6A1D6C
First NFT owner address (bech32): 
genesis1cd64x5g27499yk6nsumlljf6epkx58tvh6ea0x
Current NFT ID #306892 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
306892
Accession (UniProt):
A0K6D2
Name::
Polyphosphate kinase
Experimental Method:
Predicted structure
Sequence source:
Burkholderia cenocepacia (strain HI2424)

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 A0K6D2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0K6D2|PPK1_BURCH Polyphosphate kinase OS=Burkholderia cenocepacia (strain HI2424) OX=331272 GN=ppk PE=3 SV=1 MSVRYPLLNRELGILGFNERVLAQAADPQVPLLERLRFICITSSNLDEFFEVRMAGLQEQIRDNPGALTPDGMSLQHAYDLVVERAQRLVHRQYTMLHETVLPALEQEGIYFHASDSWNDEQLEWARRYFLDELLPVLTPIGLDPAHPFPRVLNKSLNFVVELEGRDAFGRQAVMGIVQAPRALPRVVRMPHALSGFEHGFVLLSSFMQRFVGELFPQLVVKSCNQFRITRNSELFVDEDEITNLRVALQGELPARHLGNAVRLEVSADTPLHIVRRLLEESELGDKDCYRVAGSVNLVRLMQIPDLVDRPDLKFTPFTASTPAVIANAPTMFDAIDAGDILLHHPYESFQPVLELLQQAARDPSVVAIKQTIYRTGTDSPLMDALMEAARNGKEVTVVVELLARFDEETNINWASQLEAVGAHVVYGVVGHKCHAKMMLIVRRVVQAGKASLRRYVHLGTGNYHPRTARLYTDFGLMTADQKICEDVHHVFQQLTGIGGELTLHELWQSPFTLHPRIIESIRAEIDNAQAGKRARIVAKMNALLEPSVIAALYEASQAGVKVDLIVRGVCALKPGVPGLSENITVRSIVGRFLEHHRIYYFHAGGAEDVYLSSADWMDRNLFRRVEVAFPIRERKLKRRVIAEGLSVCLGDNQSAWQMHSDGHYRRRRTGKTIRNAQLGLLAKFCS