Q87DT7 AF NFT

RNA polymerase sigma factor RpoD

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaada654yrtg74n34jbonhzc3fq2zswei2w5uj4gdcef4mtkverbu/metadata.json
IPFS of structure file: 
bafybeigxlkvlxopz5tnxcwdej2ufe3niqr53mrgyj7pyr3ttujshhl5og4/AF-Q87DT7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbDA05C32aD6eE153C8C5A78dfa48d7Ba25694fea
First NFT owner address (bech32): 
genesis1hks9cv4ddms48jx957xl5jxhhgjkjnl2ggp9vq
Current NFT ID #388839 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
388839
Accession (UniProt):
Q87DT7
Name::
RNA polymerase sigma factor RpoD
Experimental Method:
Predicted structure
Sequence source:
Xylella fastidiosa (strain Temecula1 / ATCC 700964)

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 Q87DT7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q87DT7|RPOD_XYLFT RNA polymerase sigma factor RpoD OS=Xylella fastidiosa (strain Temecula1 / ATCC 700964) OX=183190 GN=rpoD PE=3 SV=1 MSNERTAQQSDIKQLISKGLEQGYLTYAEVNDHLPEDLVDPDQIEDIIGMINGMGIEVHEVAPDAETLLLNEGNTGNREVDDTAAEEAAAALSALDTEAGRTTDPVRMYMREMGTVELLTREGEIAIAKRIEEGLSEVQAALGAFPLSTELLLSEYELHKEGKRRLTEVVVGFNDLIEEDNSVTSSVDVTDESIVEVDEEDDDSVGNDEDAPMIGPDPAEVASRIESLSTEYAKFKKLYAKHGPEHKAVIKVREDVAAIFVTFKLSLPLTDLLVQQLQNMVNSVKDHERKVLHLATNVAKMPRKDFIRSWENNQTNLEWVEDAIKRKQKWSSALRDIKDQITAEQQASIDLEKVNSLTLADIKEINRMMVYGEAKASKAKKEMVEANLRLVISIAKKYTNRGLQFLDLIQEGNIGLMKAVCKFEHRRGFKFSTYATWWIRQAITRSIADQARTIRIPVHMIETINKLNRISRQMLQQFGREATPEELAKEMDMPEDKIRKVMKIAKEPISMETPIGDDEDSHLGDFIEDPNVESPVDTTTNVNLSETVREVLAGLTPREAKVLRMRFGIDMNTDHTLEEVGKQFDVTRERIRQIEAKALRKLRHPSRSEQLRSFLDID