Q9ZCQ3 Cell division protein FtsZ MolNFT, Molecular NFT on GenesisL1

Cell division protein FtsZ

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeid7fket5ux6gri3su26dvhboekwze3m3xe7un2npoxvhs4mlcqfra/metadata.json

IPFS of structure file:

bafybeig6bmemva6hejsf2qual3lnou7kxdvstuok7tfepv3fxvbt45wbie/AF-Q9ZCQ3-F1-model_v2.pdb

First NFT owner address (eip-55):

0xA1c4aE1D06e2a350D0C74207AeA386005b87F22f

First NFT owner address (bech32):

genesis158z2u8gxu234p5x8ggr6aguxqpdc0u30qsqv8g

Current NFT ID #137875 owner (web3):

0xeDe6FdB486740aA776Ade3705F18bEa30887dA64

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
137875
Accession (UniProt):
Q9ZCQ3
Name::
Cell division protein FtsZ
Experimental Method:
Predicted structure
Sequence source:
RICKETTSIA PROWAZEKII (STRAIN MADRID E)

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 Q9ZCQ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZCQ3|FTSZ_RICPR Cell division protein FtsZ OS=Rickettsia prowazekii (strain Madrid E) OX=272947 GN=ftsZ PE=3 SV=1 MVLNIKAPENIVLKPTITVFGVGGAGSNAVNNMIHANLQGANFVVANTDAQSLEHSLCINKIQLGVSTTRGLGAGASPEVGALAAQESENEIRSSLENSNMVFITAGMGGGTGTGSAPIIARIAKELGILTVGVVTKPFHFEGGHRMKTADKGLIELQQFVDTLIVIPNQNLFRIANEQTTFADAFKMADDVLHAGVRGVTDLMIMPGLINLDFADIKAVMSEMGKAMMGTGEDSGEDRAIKAAESAISNPLLDHSSMCGARGVLINITGGPDMTLFEVDNAANRIREEVDNIDANIIFGSTFNPELKGIIRVSVVATGIDADKVPKYKLAIDKNTNTLPEETYNESIIQHTQIETIPSFNSYSTENIEINESSIKQDYTGNEQELRLHVNAVNKPENNSQKSSFLGKIWESLRTSNNQTLERKNVIVNTVDQDNKESDIHDIPAFLRKKRD

Q9ZCQ3 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q9ZCQ3 research and analysis (ICN3D with VR)

FASTA sequences

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