P9WPH6 AF NFT

ESX-2 secretion system protein EccA2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic466tzixxqks4zey3ain2cckbkr5lr47pc67npb435fm6vtozhgy/metadata.json
IPFS of structure file: 
bafybeifpat4va5oenrsdiv44qoajmyumyefvd6ck3bvp7inhhln4jzdk5u/AF-P9WPH6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7396c8929a433a5Fdd7F783ca0C1275656EA8780
First NFT owner address (bech32): 
genesis1wwtv3y56gva9lhtl0q72psf82etw4puq0knu4y
Current NFT ID #109452 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
109452
Accession (UniProt):
P9WPH6
Name::
ESX-2 secretion system protein EccA2
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 P9WPH6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WPH6|ECCA2_MYCTO ESX-2 secretion system protein EccA2 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=eccA2 PE=3 SV=1 MSRMVDTMGDLLTARRHFDRAMTIKNGQGCVAALPEFVAATEADPSMADAWLGRIACGDRDLASLKQLNAHSEWLHRETTRIGRTLAAEVQLGPSIGITVTDASQVGLALSSALTIAGEYAKADALLANRELLDSWRNYQWHQLARAFLMYVTQRWPDVLSTAAEDLPPQAIVMPAVTASICALAAHAAAHLGQGRVALDWLDRVDVIGHSRSSGRFGADVLTAAIGPADIPLLVADLAYVRGMVYRQLHEEDKAQIWLSKATINGVLTDAAKEALADPNLRLIVTDERTIASRSDRWDASTAKSRDQLDDDNAAQRRGELLAEGRELLAKQVGLAAVKQAVSALEDQLEVRMMRLEHGLPVEGQTNHMLLVGPPGTGKTTTAEALGKIYAGMGIVRHPEIREVRRSDFCGHYIGESGPKTNELIEKSLGRIIFMDEFYSLIERHQDGTPDMIGMEAVNQLLVQLETHRFDFCFIGAGYEDQVDEFLTVNPGLAGRFNRKLRFESYSPVEIVEIGHRYATPRASQLDDAAREVFLDAVTTIRNYTTPSGQHGIDAMQNGRFARNVIERAEGFRDTRVVAQKRAGQPVSVQDLQIITATDIDAAIRSVCSDNRDMAAIVW