P9WNM6 AF NFT

Elongation factor G

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibbjakaxnqgtritma4tjdhwpva5ovj33ik7nk3owbmc3nr57tm4dy/metadata.json
IPFS of structure file: 
bafybeibo2sv5ik5jl2w7vtk2wxp5slnf577mfqmxctcgwoiepsl4iqxph4/AF-P9WNM6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4b19F45398b689D52b4aF7DC26b26B77cd98f820
First NFT owner address (bech32): 
genesis1fvvlg5uck6ya22627lwzdvntwlxe37pq35k7pj
Current NFT ID #111555 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
111555
Accession (UniProt):
P9WNM6
Name::
Elongation factor G
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN CDC 1551 / OSHKOSH)

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 P9WNM6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WNM6|EFG_MYCTO Elongation factor G OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=fusA PE=3 SV=1 MAQKDVLTDLSRVRNFGIMAHIDAGKTTTTERILYYTGINYKIGEVHDGAATMDWMEQEQERGITITSAATTTFWKDNQLNIIDTPGHVDFTVEVERNLRVLDGAVAVFDGKEGVEPQSEQVWRQADKYDVPRICFVNKMDKIGADFYFSVRTMGERLGANAVPIQLPVGAEADFEGVVDLVEMNAKVWRGETKLGETYDTVEIPADLAEQAEEYRTKLLEVVAESDEHLLEKYLGGEELTVDEIKGAIRKLTIASEIYPVLCGSAFKNKGVQPMLDAVVDYLPSPLDVPPAIGHAPAKEDEEVVRKATTDEPFAALAFKIATHPFFGKLTYIRVYSGTVESGSQVINATKGKKERLGKLFQMHSNKENPVDRASAGHIYAVIGLKDTTTGDTLSDPNQQIVLESMTFPDPVIEVAIEPKTKSDQEKLSLSIQKLAEEDPTFKVHLDSETGQTVIGGMGELHLDILVDRMRREFKVEANVGKPQVAYKETIKRLVQNVEYTHKKQTGGSGQFAKVIINLEPFTGEEGATYEFESKVTGGRIPREYIPSVDAGAQDAMQYGVLAGYPLVNLKVTLLDGAYHEVDSSEMAFKIAGSQVLKKAAALAQPVILEPIMAVEVTTPEDYMGDVIGDLNSRRGQIQAMEERAGARVVRAHVPLSEMFGYVGDLRSKTQGRANYSMVFDSYSEVPANVSKEIIAKATGE