P9WGE2 AF NFT

Anti-sigma-F factor antagonist RsfA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidznnlxh6tabhxzxzhhme6dtgzet2se2abn4ff7f2bk2gcalilibi/metadata.json
IPFS of structure file: 
bafybeibfxaj32pg3bulurpcqse5zcx4ccmwdqovmjrifwsbgiwwjgjfibe/AF-P9WGE2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF
First NFT owner address (bech32): 
genesis1huxjuyruu8kd93pknvzzyapqrkm3n240z6jrgl
Current NFT ID #410963 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
410963
Accession (UniProt):
P9WGE2
Name::
Anti-sigma-F factor antagonist RsfA
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN CDC 1551 / OSHKOSH)

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 P9WGE2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WGE2|RSFA_MYCTO Anti-sigma-F factor antagonist RsfA OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=rsfA PE=3 SV=1 MNPTQAGSFTTPVSNALKATIQHHDSAVIIHARGEIDAANEHTWQDLVTKAAAATTAPEPLVVNLNGLDFMGCCAVAVLAHEAERCRRRGVDVRLVSRDRAVARIIHACGYGDVLPVHPTTESALSAT