P9WGE3 AF NFT

Anti-sigma-F factor antagonist RsfA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiffomxhxeti5jzeujt2ebwnykbcbke6w3egl6vkan5yrtkctfluz4/metadata.json
IPFS of structure file: 
bafybeih5m7nh3gvd4yvatrzkghxrvsdwuxv54ehaa5fctmhu72ftxalg4q/AF-P9WGE3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf4ED13986579E8e227b3ED6c02276c648754EC27
First NFT owner address (bech32): 
genesis17nk38xr9085wyfana4kqyfmvvjr4fmp80usw7n
Current NFT ID #410964 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
410964
Accession (UniProt):
P9WGE3
Name::
Anti-sigma-F factor antagonist RsfA
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 P9WGE3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WGE3|RSFA_MYCTU Anti-sigma-F factor antagonist RsfA OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=rsfA PE=1 SV=1 MNPTQAGSFTTPVSNALKATIQHHDSAVIIHARGEIDAANEHTWQDLVTKAAAATTAPEPLVVNLNGLDFMGCCAVAVLAHEAERCRRRGVDVRLVSRDRAVARIIHACGYGDVLPVHPTTESALSAT