P9WPR2 AF NFT

Uncharacterized protein MT2916

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiabz2mfwcupqd7zpmesslumngjor5d4lykv3rhyrpgqpgfbntdbli/metadata.json
IPFS of structure file: 
bafybeih3crobvyhv7drejb3kmhdno7ie5on7zclpls65tcvkmeivjiemha/AF-P9WPR2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5fC9aBB8Bc9CF27cFb3589c392399183ca519d77
First NFT owner address (bech32): 
genesis1tly6hw9unne8e7e438peywv3s099r8th7z2x2s
Current NFT ID #513819 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
513819
Accession (UniProt):
P9WPR2
Name::
Uncharacterized protein MT2916
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 P9WPR2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WPR2|Y2850_MYCTO Uncharacterized protein MT2916 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=MT2916 PE=3 SV=1 MKPYPFSAIVGHDRLRLALLLCAVRPEIGGALIRGEKGTAKSTAVRGLAALLSVATGSTETGLVELPLGATEDRVVGSLDLQRVMRDGEHAFSPGLLARAHGGVLYVDEVNLLHDHLVDILLDAAAMGRVHVERDGISHSHEARFVLIGTMNPEEGELRPQLLDRFGLTVDVQASRDIDVRVQVIRRRMAYEADPDAFVARYADADAELAHRIAAARATVDDVVLGDNELRRIAALCAAFDVDGMRADLVVARTAAAHAAWRGVRTVEEQDIRAAAELALPHRRRRDPFDDHGIDRDQLDEALALASVDPEPEPDPPGGGQSANEPASQPNSRSKSTEPGAPSSMGDDPPRPASPRLRSSPRPSAPPSKIFRTRALRVPGVGTGAPGRRSRARNASGSVVAAAEVSDPDAHGLHLFATLLAAGERAFGAGPLRPWPDDVRRAIREGREGNLVIFVVDASGSMAARDRMAAVSGATLSLLRDAYQRRDKVAVITFRQHEATLLLSPTSSAHIAGRRLARFSTGGKTPLAEGLLAARALIIREKVRDRARRPLVVVLTDGRATAGPDPLGRSRTAAAGLVAEGAAAVVVDCETSYVRLGLAAQLARQLGAPVVRLEQLHADYLVHAVRGVA