P9WJ70 AF NFT

Anti-sigma-D factor RsdA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiht323qo5amtinifukp77p5gmhv6xzkwdteluvmhtinjh7x5hj76a/metadata.json
IPFS of structure file: 
bafybeih4rekmonll4t2zw5gkpoznwqibhxyph46t5qzkhddt3aveoejrw4/AF-P9WJ70-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF4089482c9F305083AE4073ef683C745B0f8C6F5
First NFT owner address (bech32): 
genesis17syffqkf7vzsswhyqul0dq78gkc033h4nsm6tz
Current NFT ID #410864 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
410864
Accession (UniProt):
P9WJ70
Name::
Anti-sigma-D factor RsdA
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 P9WJ70 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WJ70|RSDA_MYCTO Anti-sigma-D factor RsdA OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=rsdA PE=3 SV=1 MREFGNPLGDRPPLDELARTDLLLDALAEREEVDFADPRDDALAALLGQWRDDLRWPPASALVSQDEAVAALRAGVAQRRRARRSLAAVGSVAAALLVLSGFGAVVADARPGDLLYGLHAMMFNRSRVSDDQIVLSAKANLAKVEQMIAQGQWAEAQDELAEVSSTVQAVTDGSRRQDLINEVNLLNTKVETRDPNATLRPGSPSNPAAPGSVGNSWTPLAPVVEPPTPPTPASAAEPSMSAGVSESPMPNSTSTVAASPSTPSSKPEPGSIDPSLEPADEATNPAGQPAPETPVSPTH