A5GW13 AF NFT

Elongation factor G

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiew5wuoncwj7hqxm5eheber3idfwvmlyc7b4jx5y33i7lcmgy6s6i/metadata.json
IPFS of structure file: 
bafybeiholxenbslghdgmufjzx35hxujjvma3bqwei5uffuulbw3odkq66q/AF-A5GW13-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3E00F62D3140A99ec52E6a60794edd4CcC68D67b
First NFT owner address (bech32): 
genesis18cq0vtf3gz5ea3fwdfs8jnkafnxx34nmn0aggq
Current NFT ID #111790 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
111790
Accession (UniProt):
A5GW13
Name::
Elongation factor G
Experimental Method:
Predicted structure
Sequence source:
Synechococcus sp. (strain RCC307)

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 A5GW13 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A5GW13|EFG_SYNR3 Elongation factor G OS=Synechococcus sp. (strain RCC307) OX=316278 GN=fusA PE=3 SV=1 MPRDFPLDRVRNIGIAAHIDAGKTTTTERILFYSGVVHKIGEVHDGAAVTDWMAQERERGITITAAAISTAWNDHRINIIDTPGHVDFTIEVERSMRVLDGVIAVFCAVGGVQPQSETVWRQADRYSVPRMVFVNKMDRTGADFLKVYGQIVDRLKAKAAPIQLPIGAEGDLSGIIDLVANKAYIYKNDLGTDIEEAEIPADMADEAAEWRAKLMESVAENDEELIEKFLETGELTEAELKKGIRDGVLKHGLVPMLCGSAFKNKGVQLVLDAVVDYLPAPIDVPPIQGVLADGSEAVRPSDDNAPFSALAFKVMADPYGKLTFVRMYSGVLSKGSYVMNSTKDVKERISRLVVLKADDREEVDQLRAGDLGAVLGLKNTTTGDTLCDPDNSIVLETLFIPEPVISVAVEPKTKGDMEKLSKALTSLSEEDPTFRVSTDEETGQTVIAGMGELHLEILVDRMLREFKVEANIGAPQVSYRETIRSSSKGEGKFARQTGGKGQYGHVVIEMEPGEPGTGFEFINKIVGGAVPKEFIKPAEMGMKETCESGVIAGFPLIDVKCTMVDGSYHDVDSSEMAFKIAGSMAFKDGVKKCNPVLLEPMMKVEVEVPEDFLGSIIGDLSSRRGQVEGQSIDDGISKVSAKVPLAEMFGYATQLRSMTQGRGIFSMEFSRYEEVPRNVAEAIISKNQGNS