B1YMX3 AF NFT

Polyphosphate kinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibfgakvrvmqxrbi7t3gjolblp67zbqhi2sl6r5zx6alwknfis5zly/metadata.json
IPFS of structure file: 
bafybeifcz6mneni2g4fez5eedlrevyum7wzvarufw5466nsbuteaaetftm/AF-B1YMX3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1ED4a68B4011314730adE976b56Ad4cA21b54dcD
First NFT owner address (bech32): 
genesis1rm22dz6qzyc5wv9da9mt26k5egsm2nwdw6hzk8
Current NFT ID #306890 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
306890
Accession (UniProt):
B1YMX3
Name::
Polyphosphate kinase
Experimental Method:
Predicted structure
Sequence source:
BURKHOLDERIA AMBIFARIA (STRAIN MC40-6)

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 B1YMX3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B1YMX3|PPK1_BURA4 Polyphosphate kinase OS=Burkholderia ambifaria (strain MC40-6) OX=398577 GN=ppk PE=3 SV=1 MSVRYPLLNRELGILGFNERVLAQAADPQVPLLERLRFICITSSNLDEFFEVRMAGLQEQIRDNPGALTPDGMSLQHAYDLVVERAQRLVHRQYTMLHETVLPALEQEGIYFHAADTWNDEQLEWARRYFLDELLPVLTPIGLDPAHPFPRVLNKSLNFVVELEGRDAFGRQAVMGIVQAPRALPRVVRMPQALSGFEHGFVLLSTFMQRFVGELFPQLVVKSCNQFRITRNSELFVDEDEITNLRVALQGELPARHLGNAVRLEVSADTPAHIVRRLLEESLLDEKDCYRVAGSVNLVRLMQIPDLVDRPDLKFAPFTASIPPVIANAPAMFDAIDDGDILLHHPYESFQPVLELLQQAAKDPSVVAIKQTIYRTGTDSPLMDALMAAARNGKEVTVVVELLARFDEETNINWASQLEAVGAHVVYGVVGHKCHAKMMLIVRRVVESGKATLRRYVHLGTGNYHPRTARLYTDFGLMTADQKICEDVHHVFQQLTGIGGELTLHELWQSPFTLHPRIIESIRAEIDNARAGKRARVVAKMNALLEPTVIAALYEASQAGVKVDLIVRGVCALKPGVPGLSENITVRSIVGRFLEHHRIYYFHADGAEEVYLSSADWMDRNLFRRVEVAFPIRERKLKRRVIAEGLSVCLGDNQSAWLMQSDGHYRRRRAGKTLRNAQLGLLAKFCS