P9WI71 AF NFT

Serine/threonine-protein kinase PknH

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicpufqjjejt7rexzmhyiihw444rkfugyidagxzio3onapoy4tgsgq/metadata.json
IPFS of structure file: 
bafybeih4vgerd3tnbbhydoolzlxuwh4uqpqteqbxfquer4cv54xlprma7i/AF-P9WI71-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf4ED13986579E8e227b3ED6c02276c648754EC27
First NFT owner address (bech32): 
genesis17nk38xr9085wyfana4kqyfmvvjr4fmp80usw7n
Current NFT ID #300632 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
300632
Accession (UniProt):
P9WI71
Name::
Serine/threonine-protein kinase PknH
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 P9WI71 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WI71|PKNH_MYCTU Serine/threonine-protein kinase PknH OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=pknH PE=1 SV=1 MSDAQDSRVGSMFGPYHLKRLLGRGGMGEVYEAEHTVKEWTVAVKLMTAEFSKDPVFRERMKREARIAGRLQEPHVVPIHDYGEVDGQMFLEMRLVEGTDLDSVLKRFGPLTPPRAVAIITQIASALDAAHADGVMHRDVKPQNILITRDDFAYLVDFGIASATTDEKLTQLGTAVGTWKYMAPERFSNDEVTYRADIYALACVLHECLTGAPPYRADSAGTLVSSHLMGPIPQPSAIRPGIPKAFDAVVARGMAKKPEDRYASAGDLALAAHEALSDPDQDHAADILRRSQESTLPAPPKPVPPPTMPATAMAPRQPPAPPVTPPGVQPAPKPSYTPPAQPGPAGQRPGPTGQPSWAPNSGPMPASGPTPTPQYYQGGGWGAPPSGGPSPWAQTPRKTNPWPLVAGAAAVVLVLVLGAIGIWIAIRPKPVQPPQPVAEERLSALLLNSSEVNAVMGSSSMQPGKPITSMDSSPVTVSLPDCQGALYTSQDPVYAGTGYTAINGLISSEPGDNYEHWVNQAVVAFPTADKARAFVQTSADKWKNCAGKTVTVTNKAKTYRWTFADVKGSPPTITVIDTQEGAEGWECQRAMSVANNVVVDVNACGYRITNQAGQIAAKIVDKVNKE