P9WPR3 AF NFT

Uncharacterized protein Rv2850c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigcjenvjyxoh6kr42zx23fuiwk2ldx7mrrr2v22ttfofy5olr4dmy/metadata.json
IPFS of structure file: 
bafybeife322vdmsowphwyd63wrdo3anopuroeeng4r4wnmunhotbf4ml7e/AF-P9WPR3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x71112d4fF7ebb3b617963c05f052289e073082FD
First NFT owner address (bech32): 
genesis1wygj6nlhawemv9uk8szlq53gncrnpqha56an79
Current NFT ID #513820 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
513820
Accession (UniProt):
P9WPR3
Name::
Uncharacterized protein Rv2850c
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 P9WPR3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WPR3|Y2850_MYCTU Uncharacterized protein Rv2850c OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv2850c PE=1 SV=1 MKPYPFSAIVGHDRLRLALLLCAVRPEIGGALIRGEKGTAKSTAVRGLAALLSVATGSTETGLVELPLGATEDRVVGSLDLQRVMRDGEHAFSPGLLARAHGGVLYVDEVNLLHDHLVDILLDAAAMGRVHVERDGISHSHEARFVLIGTMNPEEGELRPQLLDRFGLTVDVQASRDIDVRVQVIRRRMAYEADPDAFVARYADADAELAHRIAAARATVDDVVLGDNELRRIAALCAAFDVDGMRADLVVARTAAAHAAWRGVRTVEEQDIRAAAELALPHRRRRDPFDDHGIDRDQLDEALALASVDPEPEPDPPGGGQSANEPASQPNSRSKSTEPGAPSSMGDDPPRPASPRLRSSPRPSAPPSKIFRTRALRVPGVGTGAPGRRSRARNASGSVVAAAEVSDPDAHGLHLFATLLAAGERAFGAGPLRPWPDDVRRAIREGREGNLVIFVVDASGSMAARDRMAAVSGATLSLLRDAYQRRDKVAVITFRQHEATLLLSPTSSAHIAGRRLARFSTGGKTPLAEGLLAARALIIREKVRDRARRPLVVVLTDGRATAGPDPLGRSRTAAAGLVAEGAAAVVVDCETSYVRLGLAAQLARQLGAPVVRLEQLHADYLVHAVRGVA