Q68VQ5 AF NFT

RNA polymerase sigma factor RpoD

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifi3zrhrvtzu7vvg2esqhnbpu2vzk2lo6s3qfwl3gkxdgifmoicom/metadata.json
IPFS of structure file: 
bafybeicjnix63u5avmbbne4gittnclis4muaixnrlarls3z7zsazwnpy54/AF-Q68VQ5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x95359253bA527AB3762b6AD81b50414549F65387
First NFT owner address (bech32): 
genesis1j56ey5a62fatxa3tdtvpk5zpg4ylv5u8trxqa2
Current NFT ID #388831 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
388831
Accession (UniProt):
Q68VQ5
Name::
RNA polymerase sigma factor RpoD
Experimental Method:
Predicted structure
Sequence source:
RICKETTSIA TYPHI (STRAIN ATCC VR-144 / WILMINGTON)

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 Q68VQ5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q68VQ5|RPOD_RICTY RNA polymerase sigma factor RpoD OS=Rickettsia typhi (strain ATCC VR-144 / Wilmington) OX=257363 GN=rpoD PE=3 SV=1 MSNSNIDNDPAKIDSLLRKAKSKKIPVTYDDINKALPLNKNPSIRQLEEAILKFSDAGVDILESNEDDEIKLDIGIDEEFKLSTNVDNESEDEVEEENIGSTDDPVRLYLKDMGGVDLLTRENEVEIAKRIEEGRKTMTASLCRSPVAMRCFIVWYEDLVNEKMLLRDLIDLEANMLHDEVHENDEEHNSETEVEEHEDNHLSMSRVETQILHNIIDRMKKISFICEELLIEAKKCYEESFDPKVLQNSRKYNNNLELLIHEVSEIHFNSKRTEEILGKMYGINRDLINKETAFLKLAEKYGVTRQNFLDEYIGSVINAAWKEKMLKNKKVAWKELITKESDYIDQMINELSVIESNTGLLVNDFKKLVNTIQKSERQTLQAKKDMIEANLRLVISIAKKYANRGLQFLDLIQEGNIGLMKAVDKFEYRRGYKFSTYATWWIRQAITRAIADQARTIRIPVHMIETINKILRTSRQMLNELGYEPTATEIANRLSMPLDKVRKVMKIAKEPISLENPVGDDSDGGQLGDFIEDKNAVAPIDAAIQSNLREVTTRVLATLTPREERVLRMRFGIGMNTDHTLEEVGQQFKVTRERIRQIESKALRKLQHPIRSKKLNSFRNGGKRGDGNPSDLLEA