P9WIY7 AF NFT

Uncharacterized NTE family protein Rv2565

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibhzwgithe3n5jdtgjyqqmpxec4iyp6aejlir2o3ok77tvfhrhhhu/metadata.json
IPFS of structure file: 
bafybeidwfpin54xlolojmfli3o3qvmvutkdja3f6hg74addxyffoqo33su/AF-P9WIY7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5c4adF1416281C09AE8eE1cbb80fF7e44cE86F97
First NFT owner address (bech32): 
genesis1t39d79qk9qwqnt5wu89msrlhu3xwsmuhlku3xz
Current NFT ID #512853 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
512853
Accession (UniProt):
P9WIY7
Name::
Uncharacterized NTE family protein Rv2565
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 P9WIY7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WIY7|Y2565_MYCTU Uncharacterized NTE family protein Rv2565 OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv2565 PE=1 SV=1 MTTARRRPKRRGTDARTALRNVPILADIDDEQLERLATTVERRHVPANQWLFHAGEPADSIYIVDSGRFVAVAPEGHVFAEMASGDSIGDLGVIAGAARSAGVRALRDGVVWRIAAETFTDMLEATPLLQSAMLRAMARMLRQSRPAKTARRPRVIGVVSNGDTAAAPMVDAIATSLDSHGRTAVIAPPVETTSAVQEYDELVEAFSETLDRAERSNDWVLVVADRGAGDLWRHYVSAQSDRLVVLVDQRYPPDAVDSLATQRPVHLITCLAEPDPSWWDRLAPVSHHPANSDGFGALARRIAGRSLGLVMAGGGARGLAHFGVYQELTEAGVVIDRFGGTSSGAIASAAFALGMDAGDAIAAAREFIAGSDPLGDYTIPISALTRGGRVDRLVQGFFGNTLIEHLPRGFFSVSADMITGDQIIHRRGSVSGAVRASISIPGLIPPVHNGEQLLVDGGLLNNLPANVMCADTDGEVICVDLRRTFVPSKGFGLLPPIVTPPGLLRRLLTGTDNALPPLQETLLRAFDLAASTANLRELPRVAAIIEPDVSKIGVLNFKQIDAALEAGRMAARAALQAQPDLVR