A1B023 AF NFT

Elongation factor G

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiayf5tplcpgseamj2i2imx5yw6l4f52kzwagppnxqmnzymxahmahu/metadata.json
IPFS of structure file: 
bafybeidfxi47o63blzmlvuxtmawc6gzkf6s7cgnfio4bls5q3ekqfmimia/AF-A1B023-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x69eE01C8f0EE6680BfD1adfA715C501Aba23F4B9
First NFT owner address (bech32): 
genesis1d8hqrj8saengp0734ha8zhzsr2az8a9eku0emz
Current NFT ID #111589 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
111589
Accession (UniProt):
A1B023
Name::
Elongation factor G
Experimental Method:
Predicted structure
Sequence source:
PARACOCCUS DENITRIFICANS (STRAIN PD 1222)

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 A1B023 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1B023|EFG_PARDP Elongation factor G OS=Paracoccus denitrificans (strain Pd 1222) OX=318586 GN=fusA PE=3 SV=1 MAREYPLERYRNFGIMAHIDAGKTTTTERILFYTGKNHKMGETHEGASTMDWMEQEAERGITITSAATTTFWQRHEDADFTPDDSERCRFNIIDTPGHVDFTIEVERSLAVLDGAICLLDGNAGVEPQTETVWRQADRYKVPRIVFVNKMDKIGADFFKCVAMIKDRTGGTPCPIALPIGAEDKLEGIVDLIKMEEWVWKGEDLGASWVRQPIRDELQDVAEEWRGKMIELAVEQDDEAMEAYLDGNEPDEATLRKLIRKGTLSLSFFPVMAGSAFKNKGVQPLLNAVVDFLPAPTDVPAYLGFAPGDETETRNIERSASDDQPFSALAFKIMNDPFVGSLTFTRIYSGQLKKGDQMLNATKGKRERVGRMMVMHAINREEIEEAFAGEIIALAGLKETTTGDTLCDPAKPVVLETMTFPEPVIEIAVEPKSKADQEKMGLALQRLAAEDPSFRVETDMESGQTIMKGMGELHLDILVDRMKREFKVEANIGAPQVAYRETISQPAEIDYTHKKQTGGTGQFARVKLQIEPTEPGEGYSFESKIVGGAVPKEYIPGVEKGIKSVMDSGPLAGFPVIDFKVALIDGAFHDVDSSVLAFEIAARAGMREGLKKAGAKLLEPIMRVEVVTPEEYTGSIIGDLTSRRGMVRGQDTRGNANVIDAFVPLANMFGYINNLRSMSSGRAVFTMQFDHYEAVPQNISDEIQKKYA