P9WG93 AF NFT

Uncharacterized membrane protein Rv2723

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidrsnjtibshkgvmub4wh5sx2pnzckyrogrqd52gy6oviwhieul4le/metadata.json
IPFS of structure file: 
bafybeibfvaksouv5fzglkknb63vatrp26phl2c4hnu44g5luxc5vcyr4vy/AF-P9WG93-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x634e3292BE8DF62fabB7B5C94Af7cff5bF9DcEB0
First NFT owner address (bech32): 
genesis1vd8r9y473hmzl2ahkhy54a707klemn4swy76fq
Current NFT ID #513459 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
513459
Accession (UniProt):
P9WG93
Name::
Uncharacterized membrane protein Rv2723
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 P9WG93 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WG93|Y2723_MYCTU Uncharacterized membrane protein Rv2723 OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv2723 PE=1 SV=1 MGASGLVWTLTIVLIAGLMLVDYVLHVRKTHVPTLRQAVIQSATFVGIAILFGIAVVVFGGSELAVEYFACYLTDEALSVDNLFVFLVIISSFGVPRLAQQKVLLFGIAFALVTRTGFIFVGAALIENFNSAFYLFGLVLLVMAGNLARPTGLESRDAETLKRSVIIRLADRFLRTSQDYNGDRLFTVSNNKRMMTPLLLVMIAVGGTDILFAFDSIPALFGLTQNVYLVFAATAFSLLGLRQLYFLIDGLLDRLVYLSYGLAVILGFIGVKLMLEALHDNKIPFINGGKPVPTVEVSTTQSLTVIIIVLLITTAASFWSARGRAQNAMARARRYATAYLDLHYETESAERDKIFTALLAAERQINTLPTKYRMQPGQDDDLMTLLCRAHAARDAHM