P0A643 AF NFT

Uncharacterized NTE family protein Mb2594

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihwq33xw745zm5rewmafy7kdbgpctslhf27cy7yl72knu33fmh5fm/metadata.json
IPFS of structure file: 
bafybeigyyapzneno753mbmlueso33qgfgzfyxbstrt5wmkrzw3xcmvci6i/AF-P0A643-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb4D2d9c96b0D792d0b77e7147D724cc1F801ae58
First NFT owner address (bech32): 
genesis1knfdnjttp4uj6zmhuu286ujvc8uqrtjce36hs0
Current NFT ID #512978 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
512978
Accession (UniProt):
P0A643
Name::
Uncharacterized NTE family protein Mb2594
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 P0A643 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0A643|Y2594_MYCBO Uncharacterized NTE family protein Mb2594 OS=Mycobacterium bovis (strain ATCC BAA-935 / AF2122/97) OX=233413 GN=BQ2027_MB2594 PE=3 SV=1 MTTARRRPKRRGTDARTALRNVPILADIDDEQLERLATTVERRHVPANQWLFHAGEPADSIYIVDSGRFVAVAPEGHVFAEMASGDSIGDLGVIAGAARSAGVRALRDGVVWRIAAETFTDMLEATPLLQSAMLRAMARMLRQSRPAKTARRPRVIGVVSNGDTAAAPMVDAIATSLDSHGRTAVIAPPVETTSAVQEYDELVEAFSETLDRAERSNDWVLVVADRGAGDLWRHYVSAQSDRLVVLVDQRYPPDAVDSLATQRPVHLITCLAEPDPSWWDRLAPVSHHPANSDGFGALARRIAGRSLGLVMAGGGARGLAHFGVYQELTEAGVVIDRFGGTSSGAIASAAFALGMDAGDAIAAAREFIAGSDPLGDYTIPISALTRGGRVDRLVQGFFGNTLIEHLPRGFFSVSADMITGDQIIHRRGSVSGAVRASISIPGLIPPVHNGEQLLVDGGLLNNLPANVMCADTDGEVICVDLRRTFVPSKGFGLLPPIVTPPGLLRRLLTGTDNALPPLQETLLRAFDLAASTANLRELPRVAAIIEPDVSKIGVLNFKQIDAALEAGRMAARAALQAQPDLVR