P59976 AF NFT

ESX-2 secretion system protein EccA2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiddafb6qaooe3gwmuycuujxdjm7j7fpwj35bw7bjxxwgvcv62myvy/metadata.json
IPFS of structure file: 
bafybeidy7owurjn7kie467fmu6ref3h36mncxphuuv7kpep7m74be2d2bu/AF-P59976-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5881B09f2D8e743400698633641fc1cD2Ed2BE6F
First NFT owner address (bech32): 
genesis1tzqmp8ed3e6rgqrfscekg87pe5hd90n0e7l5st
Current NFT ID #109451 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
109451
Accession (UniProt):
P59976
Name::
ESX-2 secretion system protein EccA2
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM BOVIS (STRAIN ATCC BAA-935 / AF2122/97)

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 P59976 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P59976|ECCA2_MYCBO ESX-2 secretion system protein EccA2 OS=Mycobacterium bovis (strain ATCC BAA-935 / AF2122/97) OX=233413 GN=eccA2 PE=3 SV=1 MSRMVDTMGDLLTARRHFDRAMTIKNGQGCVAALPEFVAATEADPSMADAWLGRIACGDRDLASLKQLNAHSEWLHRETTRIGRTLAAEVQLGPSIGITVTDASQVGLALSSALTIAGEYAKADALLANRELLDSWRNYQWHQLARAFLMYVTQRWPDVLSTAAEDLPPQAIVMPAVTASICALAAHAAAHLGQGRVALDWLDRVDVIGHSRSSGRFGADVLTAAIGPADIPLLVADLAYVRGMVYRQLHEEDKAQIWLSKATINGVLTDAAKEALADPNLRLIVTDERTIASRSDRWDASTAKSRDQLDDDNAAQRRGELLAEGRELLAKQVGLAAVKQAVSALEDQLEVRMMRLEHGLPVEGQTNHMLLVGPPGTGKTTTAEALGKIYAGMGIVRHPEIREVRRSDFCGHYIGESGPKTNELIEKSLGRIIFMDEFYSLIERHQDGTPDMIGMEAVNQLLVQLETHRFDFCFIGAGYEDQVDEFLTVNPGLAGRFNRKLRFESYSPVEIVEIGHRYATPRASQLDDAAREVFLDAVTTIRNYTTPSGQHGIDAMQNGRFARNVIERAEGFRDTRVVAQKRAGQPVSVQDLQIITATDIDAAIRSVCSDNRDMAAIVW