P9WJ71 AF NFT

Anti-sigma-D factor RsdA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaruboizqftzdvy3bxkp6ctyf5enkcpuplatdoxffqvafhbtie54y/metadata.json
IPFS of structure file: 
bafybeicermubaimegkjakuqvov22d2lmspmhimsh6p47ncg7riz2lnnat4/AF-P9WJ71-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3BB61284E47a075411d99C0E0F0AFdea58cF5CD6
First NFT owner address (bech32): 
genesis18wmp9p8y0gr4gywens8q7zhaafvv7hxk3vn639
Current NFT ID #410865 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
410865
Accession (UniProt):
P9WJ71
Name::
Anti-sigma-D factor RsdA
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 P9WJ71 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WJ71|RSDA_MYCTU Anti-sigma-D factor RsdA OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=rsdA PE=1 SV=1 MREFGNPLGDRPPLDELARTDLLLDALAEREEVDFADPRDDALAALLGQWRDDLRWPPASALVSQDEAVAALRAGVAQRRRARRSLAAVGSVAAALLVLSGFGAVVADARPGDLLYGLHAMMFNRSRVSDDQIVLSAKANLAKVEQMIAQGQWAEAQDELAEVSSTVQAVTDGSRRQDLINEVNLLNTKVETRDPNATLRPGSPSNPAAPGSVGNSWTPLAPVVEPPTPPTPASAAEPSMSAGVSESPMPNSTSTVAASPSTPSSKPEPGSIDPSLEPADEATNPAGQPAPETPVSPTH