P9WLQ3 AF NFT

Uncharacterized protein Rv1954c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib5duxh4isyfu7pffqxugnurpqvmqgq4phsxdt3k7hegmeghuqnri/metadata.json
IPFS of structure file: 
bafybeiajw7nqgwnx5z2tfs4fmszpvnx6ctntlx2j6lxlrtszzdphul6cqy/AF-P9WLQ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3Fb036B69Ae373B7B8D5715E6f811A5c94260042
First NFT owner address (bech32): 
genesis187crdd56udem0wx4w90xlqg6tj2zvqzzejcqxe
Current NFT ID #510179 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
510179
Accession (UniProt):
P9WLQ3
Name::
Uncharacterized protein Rv1954c
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 P9WLQ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WLQ3|Y1954_MYCTU Uncharacterized protein Rv1954c OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv1954c PE=2 SV=1 MAAGSGGGTVGLVLPRVASLSGLDGAPTVPEGSDKALMHLGDPPRRCDTHPDGTSSAAAALVLRRIDVHPLLTGLGRGRQTVSLRNGHLVATANRAILSRRRSRLTRGRSFTSHLITSCPRLDDHQHRHPTRCRAEHAGCTVATCIPNAHDPAPGHQTPRWGPFRLKPAYTRI