A0R0T9 Heat-inducible transcription repressor HrcA MolNFT, Molecular NFT on GenesisL1

Heat-inducible transcription repressor HrcA

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeic7tc5xsx3z26yvooreon3whgzyovfqxpmzanik4zmqwwnpphb5ze/metadata.json

IPFS of structure file:

bafybeiaq6gje6bav5kqay5va3sjobjmicgffmcu7mcylllubyvgsfloe5u/AF-A0R0T9-F1-model_v2.pdb

First NFT owner address (eip-55):

0x02dDcAE59c349F312Bb57C4bd76B0C1634633D1C

First NFT owner address (bech32):

genesis1qtwu4evuxj0nz2a4039aw6cvzc6xx0gu9nxh0n

Current NFT ID #176924 owner (web3):

0xd91633319BDB0a92cbC4f08DeA734Bf74C030064

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
176924
Accession (UniProt):
A0R0T9
Name::
Heat-inducible transcription repressor HrcA
Experimental Method:
Predicted structure
Sequence source:
MYCOLICIBACTERIUM SMEGMATIS (STRAIN ATCC 700084 / MC(2)155)

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 A0R0T9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0R0T9|HRCA_MYCS2 Heat-inducible transcription repressor HrcA OS=Mycolicibacterium smegmatis (strain ATCC 700084 / mc(2)155) OX=246196 GN=hrcA PE=1 SV=1 MGSADDRRFEVLRAIVADFVATKEPIGSKTLVERHNLGVSSATVRNDMAVLEAEGYITQPHTSSGRVPTEKGYREFVDRIDNVKPLSSSERRAILNFLESGVDLDDVLRRAVRLLAQLTRQVAIVQYPTLSTSSVRHLEVVALTPARLLLVVITDTGRVDQRIVELGDAIDEHELSKLRDMLGQAMEGKPLAQASIAVSDLASHLNGSDRLGDAVGRAATVLVETLVEHTEERLLLGGTANLTRNTADFGGSLRSVLEALEEQVVVLRLLAAQQEAGKVTVRIGHETEAEQMAGASVVSTAYGSSGKVYGGMGVVGPTRMDYPGTIANVAAVALYIGEVLGSR

A0R0T9 AF NFT

MOLNFT AF v1

NFT data

MOLNFT A0R0T9 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience