P0A5S5 AF NFT

Serine/threonine-protein kinase PknB

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiamyofqypdm7ppdzzd36x5edwietvcpgvazhogn3f6ji4ewkbgplq/metadata.json
IPFS of structure file: 
bafybeihqsy4sp4pmwrrw7laizbfpo62frqbq4236ny4x5yrwga5xp3rrli/AF-P0A5S5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9E72a6c28d20b2443a44F1c57457a027ddE4fa17
First NFT owner address (bech32): 
genesis1nee2ds5dyzeygwjy78zhg4aqylw7f7sh87h2qv
Current NFT ID #300602 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
300602
Accession (UniProt):
P0A5S5
Name::
Serine/threonine-protein kinase PknB
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM BOVIS (STRAIN ATCC BAA-935 / AF2122/97)

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 P0A5S5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0A5S5|PKNB_MYCBO Serine/threonine-protein kinase PknB OS=Mycobacterium bovis (strain ATCC BAA-935 / AF2122/97) OX=233413 GN=pknB PE=3 SV=1 MTTPSHLSDRYELGEILGFGGMSEVHLARDLRLHRDVAVKVLRADLARDPSFYLRFRREAQNAAALNHPAIVAVYDTGEAETPAGPLPYIVMEYVDGVTLRDIVHTEGPMTPKRAIEVIADACQALNFSHQNGIIHRDVKPANIMISATNAVKVMDFGIARAIADSGNSVTQTAAVIGTAQYLSPEQARGDSVDARSDVYSLGCVLYEVLTGEPPFTGDSPVSVAYQHVREDPIPPSARHEGLSADLDAVVLKALAKNPENRYQTAAEMRADLVRVHNGEPPEAPKVLTDAERTSLLSSAAGNLSGPRTDPLPRQDLDDTDRDRSIGSVGRWVAVVAVLAVLTVVVTIAINTFGGITRDVQVPDVRGQSSADAIATLQNRGFKIRTLQKPDSTIPPDHVIGTDPAANTSVSAGDEITVNVSTGPEQREIPDVSTLTYAEAVKKLTAAGFGRFKQANSPSTPELVGKVIGTNPPANQTSAITNVVIIIVGSGPATKDIPDVAGQTVDVAQKNLNVYGFTKFSQASVDSPRPAGEVTGTNPPAGTTVPVDSVIELQVSKGNQFVMPDLSGMFWVDAEPRLRALGWTGMLDKGADVDAGGSQHNRVVYQNPPAGTGVNRDGIITLRFGQ