P9WGG7 AF NFT

ECF RNA polymerase sigma factor SigE

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidwrhmcu26f2gjsiu72emkfgl2kxf7hj6heudkkhxkuhzqcsys6bu/metadata.json
IPFS of structure file: 
bafybeifk7o24b5w5jk7nggms6dxaesosb5g77wy7lwjjhixv2e2cbgm2he/AF-P9WGG7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x79B29126Dc4f4fA95a507313353F0220340b8df6
First NFT owner address (bech32): 
genesis10xefzfkufa86jkjswvfn20czyq6qhr0kk6hth2
Current NFT ID #428794 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
428794
Accession (UniProt):
P9WGG7
Name::
ECF RNA polymerase sigma factor SigE
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN ATCC 25618 / H37RV)

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 P9WGG7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WGG7|SIGE_MYCTU ECF RNA polymerase sigma factor SigE OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=sigE PE=1 SV=1 MELLGGPRVGNTESQLCVADGDDLPTYCSANSEDLNITTITTLSPTSMSHPQQVRDDQWVEPSDQLQGTAVFDATGDKATMPSWDELVRQHADRVYRLAYRLSGNQHDAEDLTQETFIRVFRSVQNYQPGTFEGWLHRITTNLFLDMVRRRARIRMEALPEDYDRVPADEPNPEQIYHDARLGPDLQAALASLPPEFRAAVVLCDIEGLSYEEIGATLGVKLGTVRSRIHRGRQALRDYLAAHPEHGECAVHVNPVR