P9WI81 AF NFT

Serine/threonine-protein kinase PknB

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig43cczu3bsehzcxyzwn3vsbsw4s7zg2k4slbjvdtsb54wjlmdusa/metadata.json
IPFS of structure file: 
bafybeid2hvxwsk4i64cvpn5krmj4thcgkgdazsyt3pukijs6ah6gc53kh4/AF-P9WI81-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xAE6e7eC4cC5F9618Bc5ee759C76FD0817630792f
First NFT owner address (bech32): 
genesis14eh8a3xvt7tp30z7uavuwm7ss9mrq7f00fl24h
Current NFT ID #300606 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
300606
Accession (UniProt):
P9WI81
Name::
Serine/threonine-protein kinase PknB
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN ATCC 25618 / H37RV)

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 P9WI81 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WI81|PKNB_MYCTU Serine/threonine-protein kinase PknB OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=pknB PE=1 SV=1 MTTPSHLSDRYELGEILGFGGMSEVHLARDLRLHRDVAVKVLRADLARDPSFYLRFRREAQNAAALNHPAIVAVYDTGEAETPAGPLPYIVMEYVDGVTLRDIVHTEGPMTPKRAIEVIADACQALNFSHQNGIIHRDVKPANIMISATNAVKVMDFGIARAIADSGNSVTQTAAVIGTAQYLSPEQARGDSVDARSDVYSLGCVLYEVLTGEPPFTGDSPVSVAYQHVREDPIPPSARHEGLSADLDAVVLKALAKNPENRYQTAAEMRADLVRVHNGEPPEAPKVLTDAERTSLLSSAAGNLSGPRTDPLPRQDLDDTDRDRSIGSVGRWVAVVAVLAVLTVVVTIAINTFGGITRDVQVPDVRGQSSADAIATLQNRGFKIRTLQKPDSTIPPDHVIGTDPAANTSVSAGDEITVNVSTGPEQREIPDVSTLTYAEAVKKLTAAGFGRFKQANSPSTPELVGKVIGTNPPANQTSAITNVVIIIVGSGPATKDIPDVAGQTVDVAQKNLNVYGFTKFSQASVDSPRPAGEVTGTNPPAGTTVPVDSVIELQVSKGNQFVMPDLSGMFWVDAEPRLRALGWTGMLDKGADVDAGGSQHNRVVYQNPPAGTGVNRDGIITLRFGQ