P9WMI3 AF NFT

Uncharacterized HTH-type transcriptional regulator Rv0023

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib457hlwtv3x7xqnb4ve6s7545m3u55lws573tcmnpfmcqzoohmra/metadata.json
IPFS of structure file: 
bafybeidhbl2nni3mpe23x76vxtztguhytkoixtcoawi3m735qktumgsygi/AF-P9WMI3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0Ee6C33B569Bce15FC75180A6ed0ae0a82F70934
First NFT owner address (bech32): 
genesis1pmnvxw6kn08ptlr4rq9xa59wp2p0wzf5s87h9c
Current NFT ID #502795 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
502795
Accession (UniProt):
P9WMI3
Name::
Uncharacterized HTH-type transcriptional regulator Rv0023
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 P9WMI3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WMI3|Y023_MYCTU Uncharacterized HTH-type transcriptional regulator Rv0023 OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv0023 PE=1 SV=1 MSRESAGAAIRALRESRDWSLADLAAATGVSTMGLSYLERGARKPHKSTVQKVENGLGLPPGTYSRLLVAADPDAELARLIAAQPSNPTAVRRAGAVVVDRHSDTDVLEGYAEAQLDAIKSVIDRLPATTSNEYETYILSVIAQCVKAEMLAASSWRVAVNAGADSTGRLMEHLRALEATRGALLERMPTSLSARFDRACAQSSLPEAVVAALIGVGADEMWDIRNRGVIPAGALPRVRAFVDAIEASHDADEGQQ