B9L7K0 AF NFT

Elongation factor G

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihbo5opeilyujhuy2zyvqhl3tedyk4a4gsqaps7dfhw5hc6zvleam/metadata.json
IPFS of structure file: 
bafybeif5iohgqids3sdrhf3edw76ttislckkhga2s2d5y2pryfrmpnzaby/AF-B9L7K0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x025f3b1a898b05AD2731bE6Ab72687b5920c4A3F
First NFT owner address (bech32): 
genesis1qf0nkx5f3vz66fe3he4twf58kkfqcj3lqjrpt3
Current NFT ID #111560 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
111560
Accession (UniProt):
B9L7K0
Name::
Elongation factor G
Experimental Method:
Predicted structure
Sequence source:
Nautilia profundicola (strain ATCC BAA-1463 / DSM 18972 / AmH)

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 B9L7K0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9L7K0|EFG_NAUPA Elongation factor G OS=Nautilia profundicola (strain ATCC BAA-1463 / DSM 18972 / AmH) OX=598659 GN=fusA PE=3 SV=1 MPRKTPLHMVRNIGIAAHIDAGKTTTTERILYYTGVSHKIGEVHEGAATMDWMEQEKERGITITSAATTCFWKDHQINIIDTPGHVDFTIEVERSMRVLDGAVAVFCAVGGVQPQSETVWRQANKYRVPRIAFVNKMDRIGADFYNVEKQIRERLKANAVPIQIPIGAEDNFKGVIDLVKMKALVWDDEAALGSKYEEQEIPEDLREKAEEYREKMIESVVETDEALMEKYFAGEELTEEEIKSAIKKATIAIEIVPMLCGTAFKNKGVQPLLDAVIDYLPAPDEVDWIKGIDPKTGEEISVNPSDDEPFAGLAFKIMTDPFVGKLTFTRFYSGTITSGSYVLNATKNKKERVGRLLRMHSNKREEVNEFYSGEIGAIVGLKNTLTGDTLCDEKRPIILERMEFPDPVISVAVEPKTKADQEKMAIALQKLAEEDPSFRVTTDEESGQTIISGMGELHLEIIVDRLKREFKVECNTGKPQVAYRETFKNQVEQEYKYAKQSGGRGQYGHVFIRLIPQEPGKGYEFVDLIKGGVIPREYIPAVDKGIQEAAQGGVLAGFPVVDFKVELFDGSYHDVDSSEMAFKLAGSMAFKEGVKKANPVILEPIMKVEIEVPEEYMGDVIGDINRRRGQVNSMEDVHGIKKINAFVPLSEMFGYSTDLRSMTQGRGTYSMVFDHYEEVPSNIADEIIKERQG