A1KGG4 AF NFT

Elongation factor G

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihihvxu5vcfibggf56cwylot4oufkpv7agabgsd3fvrjb6ivw3rme/metadata.json
IPFS of structure file: 
bafybeig7andmhyhih2sxguomr4hiieaauahwrwxbcget2npvupqe3qw36y/AF-A1KGG4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb4D2d9c96b0D792d0b77e7147D724cc1F801ae58
First NFT owner address (bech32): 
genesis1knfdnjttp4uj6zmhuu286ujvc8uqrtjce36hs0
Current NFT ID #111532 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
111532
Accession (UniProt):
A1KGG4
Name::
Elongation factor G
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM BOVIS (STRAIN BCG / PASTEUR 1173P2)

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 A1KGG4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1KGG4|EFG_MYCBP Elongation factor G OS=Mycobacterium bovis (strain BCG / Pasteur 1173P2) OX=410289 GN=fusA PE=3 SV=1 MAQKDVLTDLSRVRNFGIMAHIDAGKTTTTERILYYTGINYKIGEVHDGAATMDWMEQEQERGITITSAATTTFWKDNQLNIIDTPGHVDFTVEVERNLRVLDGAVAVFDGKEGVEPQSEQVWRQADKYDVPRICFVNKMDKIGADFYFSVRTMGERLGANAVPIQLPVGAEADFEGVVDLVEMNAKVWRGETKLGETYDTVEIPADLAEQAEEYRTKLLEVVAESDEHLLEKYLGGEELTVDEIKGAIRKLTIASEIYPVLCGSAFKNKGVQPMLDAVVDYLPSPLDVPPAIGHAPAKEDEEVVRKATTDEPFAALAFKIATHPFFGKLTYIRVYSGTVESGSQVINATKGKKERLGKLFQMHSNKENPVDRASAGHIYAVIGLKDTTTGDTLSDPNQQIVLESMTFPDPVIEVAIEPKTKSDQEKLSLSIQKLAEEDPTFKVHLDSETGQTVIGGMGELHLDILVDRMRREFKVEANVGKPQVAYKETIKRLVQNVEYTHKKQTGGSGQFAKVIINLEPFTGEEGATYEFESKVTGGRIPREYIPSVDAGAQDAMQYGVLAGYPLVNLKVTLLDGAYHEVDSSEMAFKIAGSQVLKKAAALAQPVILEPIMAVEVTTPEDYMGDVIGDLNSRRGQIQAMEERAGARVVRAHVPLSEMFGYVGDLRSKTQGRANYSMVFDSYSEVPANVSKEIIAKATGE