P9WGH3 AF NFT

Probable ECF RNA polymerase sigma factor SigI

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicekdbkqxux4dfaafz3bkwdxhmdfdtio5g6eds4zf5iqduynb35tu/metadata.json
IPFS of structure file: 
bafybeihvub5iivjxwlirxwwpoawau6nxpvcxuzzoi3rfypzzgte46xeljy/AF-P9WGH3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf4ED13986579E8e227b3ED6c02276c648754EC27
First NFT owner address (bech32): 
genesis17nk38xr9085wyfana4kqyfmvvjr4fmp80usw7n
Current NFT ID #428826 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
428826
Accession (UniProt):
P9WGH3
Name::
Probable ECF RNA polymerase sigma factor SigI
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 P9WGH3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WGH3|SIGI_MYCTU Probable ECF RNA polymerase sigma factor SigI OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=sigI PE=2 SV=1 MSQHDPVSAAWRAHRAYLVDLAFRMVGDIGVAEDMVQEAFSRLLRAPVGDIDDERGWLIVVTSRLCLDHIKSASTRRERPQDIAAWHDGDASVSSVDPADRVTLDDEVRLALLIMLERLGPAERVVFVLHEIFGLPYQQIATTIGSQASTCRQLAHRARRKINESRIAASVEPAQHRVVTRAFIEACSNGDLDTLLEVLDPGVAGEIDARKGVVVVGADRVGPTILRHWSHPATVLVAQPVCGQPAVLAFVNRALAGVLALSIEAGKITKIHVLVQPSTLDPLRAELGGG