Q6A6L5 AF NFT

Elongation factor G

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidkn5bv67wdvr4p4qevowbgnetofhr3gt4npnbtrtsopbhwxnyo2i/metadata.json
IPFS of structure file: 
bafybeictdbcz4tti7jg2sjkhr4goqggcutdlw6ioi6b63ru3c7ladcnj5u/AF-Q6A6L5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbDA05C32aD6eE153C8C5A78dfa48d7Ba25694fea
First NFT owner address (bech32): 
genesis1hks9cv4ddms48jx957xl5jxhhgjkjnl2ggp9vq
Current NFT ID #111363 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
111363
Accession (UniProt):
Q6A6L5
Name::
Elongation factor G
Experimental Method:
Predicted structure
Sequence source:
Cutibacterium acnes (strain DSM 16379 / KPA171202)

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 Q6A6L5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6A6L5|EFG_CUTAK Elongation factor G OS=Cutibacterium acnes (strain DSM 16379 / KPA171202) OX=267747 GN=fusA PE=3 SV=1 MAKTDLSKVRNIGIMAHIDAGKTTTTERILYYTGKSYKIGEVHDGAATMDWMEQEQERGITITSAATTTFWHDTQINIIDTPGHVDFTVEVERSLRVLDGAVAVFDGVAGVEPQSMTVWRQAAKYGVPRICYINKLDRTGASFDHCVKTIKERLHAIPVLLQLPIGAEDQFMGIVDLVEMNAKTWRGETELGAHYETEDIPADMKDEAEAARAEMLETVAENDEEFMELYLEDPDAVTVDQVKAAIRRGVLASAFTAVTCGTSFKNKGVQPLLDAIVDYLPSPTDVPAISGFKPGDESVELERRPCDDEPLSILAFKIASDPHLGKLTFVRVYSGVLHAGDQVLNATKGKKERIGKIYQMHANKREEIESIGAGMICAVMGLKDTTTGETLCDQTNPIILESMTFPAPVIEQAIEPKSKADQEKLSNAIQRLVEEDPTFRVHTDEETGQTIVAGMGELHLDVFIDRMKREFHVEANIGKPQVAYRETLRKPVEKYEYTHKKQTGGSGQFARVIIAIEPKEPGFGYEFVNAVTGGRIPKEYIPSVDAGVQESMQFGVLAGYPVEDVKVTLLDGAYHEVDSSEMAFKIAGSMAFKEAARKANPGLLEPLMAVEVTTPEDYLGTVIGDLNSRRGQIQEMVEEHGNKVVRALVPLSEMFGYVGDLRSKTSGQASYSMEFDSYGECPSSVADEIIAKANGGK