P9WI77 AF NFT

Serine/threonine-protein kinase PknE

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiamywtgl3vl5yov3hkhwdqkiq2527w3l4ejqaqmig5gz2sygfw2vq/metadata.json
IPFS of structure file: 
bafybeihhksuwehqn7imi7fc6g7lpahhvdqxbqpihd2f2lsqn6c7oz45bjq/AF-P9WI77-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xDbB2f4f08BfF33e6E02Dc57ac14F6FA31fCF4899
First NFT owner address (bech32): 
genesis1mwe0fuytlue7dcpdc4avznm05v0u7jyes6qrpu
Current NFT ID #300621 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
300621
Accession (UniProt):
P9WI77
Name::
Serine/threonine-protein kinase PknE
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 P9WI77 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WI77|PKNE_MYCTU Serine/threonine-protein kinase PknE OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=pknE PE=1 SV=1 MDGTAESREGTQFGPYRLRRLVGRGGMGDVYEAEDTVRERIVALKLMSETLSSDPVFRTRMQREARTAGRLQEPHVVPIHDFGEIDGQLYVDMRLINGVDLAAMLRRQGPLAPPRAVAIVRQIGSALDAAHAAGATHRDVKPENILVSADDFAYLVDFGIASATTDEKLTQLGNTVGTLYYMAPERFSESHATYRADIYALTCVLYECLTGSPPYQGDQLSVMGAHINQAIPRPSTVRPGIPVAFDAVIARGMAKNPEDRYVTCGDLSAAAHAALATADQDRATDILRRSQVAKLPVPSTHPVSPGTRWPQPTPWAGGAPPWGPPSSPLPRSARQPWLWVGVAVAVVVALAGGLGIALAHPWRSSGPRTSAPPPPPPADAVELRVLNDGVFVGSSVAPTTIDIFNEPICPPCGSFIRSYASDIDTAVADKQLAVRYHLLNFLDDQSHSKNYSTRAVAASYCVAGQNDPKLYASFYSALFGSDFQPQENAASDRTDAELAHLAQTVGAEPTAISCIKSGADLGTAQTKATNASETLAGFNASGTPFVWDGSMVVNYQDPSWLARLIG