Q4A180 AF NFT

Chromosomal replication initiator protein DnaA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibbtwbarh56rt6aouagd3wd6h7c4h4ewvqla4jbrbqfb4a52d6iu4/metadata.json
IPFS of structure file: 
bafybeigmcygb2bn6zqm4ancpui3buewa5ykcjklnt6udespa47gor67364/AF-Q4A180-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x769C4e9A7b7784AD5199be775C9699987ab81150
First NFT owner address (bech32): 
genesis1w6wyaxnmw7z265vehem4e95enpatsy2slm562l
Current NFT ID #99983 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
99983
Accession (UniProt):
Q4A180
Name::
Chromosomal replication initiator protein DnaA
Experimental Method:
Predicted structure
Sequence source:
Staphylococcus saprophyticus subsp. saprophyticus (strain ATCC 15305 / DSM 20229 / NCIMB 8711 / NCTC 7292 / S-41)

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 Q4A180 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4A180|DNAA_STAS1 Chromosomal replication initiator protein DnaA OS=Staphylococcus saprophyticus subsp. saprophyticus (strain ATCC 15305 / DSM 20229 / NCIMB 8711 / NCTC 7292 / S-41) OX=342451 GN=dnaA PE=3 SV=1 MSEQEIWEKVLTLAQEKVSSASYQTFLKDTKLFKLQNEQAIVVTDDDFVANWLKMNYAEIIKAALYEAIGHEIAPVFYTEEELKSLHTSEQKEENQPEQPAKKYTPGVDEAVIGGEQFNTHNTFETFVIGPGNRFPHAASLAVAEAPAKAYNPLFIYGGVGLGKTHLMHAIGHYVLDNNPDAKVIYTSSEKFTNEFIKSIRDNKTERFREKYRNIDVLLIDDIQFIQNKEQTQEEFFHTFNELHQANKQIVISSDRPPKEIAKLEDRLRSRFEWGLIVDITPPDYETRMAILQKKIGEENLNIPTEALTYIANQIQSNIRELEGALTRVLAFSKLQGQPITTELTAEALKDIIQAPKSKKITIQDIQKIVGQYYSVRIEDFSAKKRTKSIAYPRQIAMYLSRELTDFSLPKIGEEFGGRDHTTVIHAHEKIVKDIQNDPTFKQEVENLEKEIRNQ