P9WKM7 AF NFT | MOLNFT bioinformatics, blockchain

Uncharacterized protein Rv0963c

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeight6qztbdy2lyly3xv5hec4bspqpkqq7kedapfhc2n27isrrfqha/metadata.json

IPFS of structure file:

bafybeienlhrl3akbh6iwomjjf7rvrtq2z7mbjngl5dkp3a6ngt3gw5qihy/AF-P9WKM7-F1-model_v2.pdb

First NFT owner address (eip-55):

0x29f16e1ADAc85365A3920254a02f930876eb953e

First NFT owner address (bech32):

genesis198ckuxk6epfktgujqf22qtunppmwh9f7dyzdxh

Current NFT ID #523206 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
523206
Accession (UniProt):
P9WKM7
Name::
Uncharacterized protein Rv0963c
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 P9WKM7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WKM7|Y963_MYCTU Uncharacterized protein Rv0963c OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv0963c PE=4 SV=1 MLQRELTRLQNGWLSRDGVWHTDTDKLADLRALRDTLAAHPGTSLILLDTASDPRKVLAAVGVGDVDNAERVGVTMGGLNTRVSSSVGDMVKEAGIQRAKAAELRERAGWPNYDAVASIAWLGYDAPDGLKDVMHDWSARDAAGPLNRFDKGLAATTNVSDQHITAFGHSYGSLVTSLALQQGAPVSDVVLYGSPGTELTHASQLGVEPGHAFYMIGVNDHVANTIPEFGAFGSAPQDVPGMTQLSVNTGLAPGPLLGDGQLHERA