Q7U4D2 AF NFT

Elongation factor G

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibtfedjyzr6ew2e3jdqiliukfatais6jodt7owfdglvastpcsy4ai/metadata.json
IPFS of structure file: 
bafybeibhtuj62l5kb2lxrtdwpzhgp6e656x76ijhe5pu66qvgodipy7quq/AF-Q7U4D2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x11Ee299A711966b8aD757D4cFC2c01135b4a9e44
First NFT owner address (bech32): 
genesis1z8hznxn3r9nt3tt404x0ctqpzdd548jyw5etem
Current NFT ID #111591 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
111591
Accession (UniProt):
Q7U4D2
Name::
Elongation factor G
Experimental Method:
Predicted structure
Sequence source:
Parasynechococcus marenigrum (strain WH8102)

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 Q7U4D2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7U4D2|EFG_PARMW Elongation factor G OS=Parasynechococcus marenigrum (strain WH8102) OX=84588 GN=fusA PE=3 SV=1 MARDFPLERVRNIGIAAHIDAGKTTTTERILFYSGVVHKIGEVHDGAAVTDWMAQERERGITITAAAISTSWQDHRINIIDTPGHVDFTIEVERSMRVLDGVIAVFCAVGGVQPQSETVWRQADRYSVPRMVFVNKMDRTGADFLKVHGQIKDRLKANAVPIQLPIGAEGDLSGIIDLVGNKAYIYKNDLGTDIEEAEIPAEMADEAAEWRATLMETIAETDEALIEKFLETGELSTEELKKGIREGVLKHGLVPMLCGSAFKNKGVQLVLDAVIDYLPAPVDVPPIQGVLPDGKEAVRPSDDKAPFSALAFKVMADPYGKLTFVRMYSGILEKGSYVLNSTKGEKERISRLVVLKADDREEVDALRAGDLGAVLGLKNTTTGDTLCTQDDPIVLETLFIPEPVISVAVEPKTKGDMEKLSKALVSLAEEDPTFRVNTDSETGQTVIAGMGELHLEILVDRMLREFKVEANIGAPQVSYRETIRGSAGGEGKFSRQTGGKGQYGHVVIEMEPGEPGSGFEFVNKIVGGIVPKEYIKPAEQGMRETCESGVIAGYPLIDVRCTLVHGSYHDVDSSEMAFKIAGSMAFKDGVKKCNPVLLEPMMKVEVEVPEDFLGSIIGDLSSRRGQVEGQGVEDGTSKISAKVPLAEMFGYATELRSMTQGRGIFSMEFDNYAEVPRNVAEAIISKNQGN