Q8G5B6 AF NFT

Elongation factor G

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigbe6o2oodhozqvxrs2c5fyahg3xcwr75wzrxzo3rjhk33yxiboty/metadata.json
IPFS of structure file: 
bafybeifyothozpzkizk2462ftn3aau42ojz5loqt25sotqcixb2lvjfizy/AF-Q8G5B6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x72863A6D5587eFC72E846eBb9C85252Bf5d4D642
First NFT owner address (bech32): 
genesis1w2rr5m24slhuwt5yd6aeepf9906af4jzdz2vvf
Current NFT ID #111258 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
111258
Accession (UniProt):
Q8G5B6
Name::
Elongation factor G
Experimental Method:
Predicted structure
Sequence source:
Bifidobacterium longum (strain NCC 2705)

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 Q8G5B6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8G5B6|EFG_BIFLO Elongation factor G OS=Bifidobacterium longum (strain NCC 2705) OX=206672 GN=fusA PE=3 SV=1 MAEEISDLHDVRNIGIMAHIDAGKTTTTERILFYTGKNYKIGETHDGASTMDFMAQEQERGITIQSAATTCFWSRQSHDTKDKFQINIIDTPGHVDFTAEVERSLRVLDGAVAVFDGKEGVEPQSETVWRQADKYGVPRICFINKMDKLGANFYYSVDTIKEKLGATPIVMQLPIGSENDFTGVVDLVEMQAYVWNGTEELGAKYDTTEIPDDLKDKAQEYHEKLVEAAAEADDDLMNKFFEDGDLSKEDIRAGVRKLTIAKEAFPIFCGSAFKDKGVQPMLDGVVDYLPSPEDVPAIKGYKPGDESVEIDRHPVKSDPFAALVFKISTHPFYGKLVFVRVYSGSVVPGDSVLDSTREKKERIGKIFQMHADKENPMDRADAGNIYTFVGLKNVTTGDTLCAIDDPITLDSMTFPDPVIQVAVEPKTKADQEKMGIALSKLAEEDPTFQVTTDEESGQTLIAGMGELQLDIIVDRMRREFKVECNQGKPQVAYRETIRKAVMDQGYTHKKQTGGSGQFAKVLMNFEPLDTTEGKTFEFENKVTGGHISAEFIGPIEAGVKEAMESGVLAGFPVVGVKATVTDGQMHPVDSSEMAFKLAGSMCFKEAAPKAKPVILEPIMKVEVRTPEEYMGEVIGDLNQRRGNIQSMTDGVGVKVIDAKVPLSEMFGYIGDLRSKTQGRAMFTMEMDSYDEVPKSVSEEIIKAQRGE