Q7U1Z7 AF NFT

Dysfunctional anti-sigma-K factor RskA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihp7okmqf2nwu7ptuz7nn6xvuldui6rifga4slaag3ada235rlro4/metadata.json
IPFS of structure file: 
bafybeiaei2xu7uxrpimxystvmvcje3luj6uzpggl4kjrqyombimyyaclt4/AF-Q7U1Z7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb7da80035aDf3CD2d8DC49E839f0D877d5f7D7e1
First NFT owner address (bech32): 
genesis1kldgqq66mu7d9kxuf85rnuxcwl2l04lpufsg9v
Current NFT ID #411297 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
411297
Accession (UniProt):
Q7U1Z7
Name::
Dysfunctional anti-sigma-K factor RskA
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM BOVIS (STRAIN ATCC BAA-935 / AF2122/97)

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 Q7U1Z7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7U1Z7|RSKA_MYCBO Dysfunctional anti-sigma-K factor RskA OS=Mycobacterium bovis (strain ATCC BAA-935 / AF2122/97) OX=233413 GN=rskA PE=1 SV=1 MTEHTDFELLELATPYALNAVSDDERADIDRRVAAAPSPVAAAFNDEVRAVRETMAVVSAATTAEPPAHLRTAILDATKPEVRRQSRWRTAAFASAAAIAVGLGAFDLGVLTRPSPPPTVAEQVLTAPDVRTVSRPLGAGTATVVFSRDRNTGLLVMNNVAPPSRGTVYQMWLLGGAKGPRSAETMGTAAVTPSTTATLTDLGASTALAFTVEPGTGSPQPTGTILAELPLG