P9WMC7 AF NFT

Uncharacterized HTH-type transcriptional regulator Rv2912c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig5gwvziqbijnssw6projmcs7nmljljtflpiwlqpdpdv3exrtmtly/metadata.json
IPFS of structure file: 
bafybeiaryz26j4b2sgtry2fbllvp5euh4adxdglgk4fszxbw6qaoem6kpy/AF-P9WMC7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa8003B255b9AFb24F952260d92Ca9AeCD5E715B2
First NFT owner address (bech32): 
genesis14qqrkf2mntajf72jycxe9j56an27w9dj776mej
Current NFT ID #514017 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
514017
Accession (UniProt):
P9WMC7
Name::
Uncharacterized HTH-type transcriptional regulator Rv2912c
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 P9WMC7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WMC7|Y2912_MYCTU Uncharacterized HTH-type transcriptional regulator Rv2912c OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv2912c PE=1 SV=1 MARTQQQRREETVARLLQASIDTIIEVGYARASAAVITKRAGVSVGALFRHFETMGDFMAATAYEVLRRQLETFTKQVAEIPADRPALPAALTILRDITAGSTNAVLYELMVAARTDEKLKETLQNVLGQYSAKIHDAARALPGAESFPEETFPVIVALMTNVFDGAAIVRGVLPQPELEEQRIPMLTALLTAGL