P45299 AF NFT

Penicillin-binding protein activator LpoA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif6fdqn5buoy2isjla4f4o75k5dsmrfxmppdgzf55ubx2glxuwcy4/metadata.json
IPFS of structure file: 
bafybeibh6wnyn2yzqbi6uqmz72d5n3gx76bhdxg53j62jzoc2u4uep26jm/AF-P45299-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x61A3874B0aD51eD2238D4A705d4a267bA385D206
First NFT owner address (bech32): 
genesis1vx3cwjc2650dygudffc96j3x0w3ct5sxwt4xkq
Current NFT ID #217294 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
217294
Accession (UniProt):
P45299
Name::
Penicillin-binding protein activator LpoA
Experimental Method:
Predicted structure
Sequence source:
HAEMOPHILUS INFLUENZAE (STRAIN ATCC 51907 / DSM 11121 / KW20 / RD)

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 P45299 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P45299|LPOA_HAEIN Penicillin-binding protein activator LpoA OS=Haemophilus influenzae (strain ATCC 51907 / DSM 11121 / KW20 / Rd) OX=71421 GN=lpoA PE=1 SV=1 MSILLQGERFKKRLMPILLSMALAGCSNLLGSNFTQTLQKDANASSEFYINKLGQTQELEDQQTYKLLAARVLIRENKVEQSAALLRELGELNDAQKLDRALIEARISAAKNANEVAQNQLRALDLNKLSPSQKSRYYETLAIVAENRKDMIEAVKARIEMDKNLTDVQRHQDNIDKTWALLRSANTGVINNASDEGNAALGGWLTLIKAYNDYIRQPVQLSQALQSWKNAYPNHAAATLFPKELLTLLNFQQTNVSQIGLLLPLSGDGQILGTTIQSGFNDAKGNSTIPVQVFDTSMNSVQDIIAQAKQAGIKTLVGPLLKQNLDVILADPAQIQGMDVLALNATPNSRAIPQLCYYGLSPEDEAESAANKMWNDGVRNPLVAMPQNDLGQRVGNAFNVRWQQLAGTDANIRYYNLPADVTYFVQENNSNTTALYAVASPTELAEMKGYLTNIVPNLAIYASSRASASATNTNTDFIAQMNGVQFSDIPFFKDTNSPQYQKLAKSTGGEYQLMRLYAMGADAWLLINQFNELRQVPGYRLSGLTGILSADTNCNVERDMTWYQYQDGAIVPVAN