P9WJ68 AF NFT

Anti-sigma factor RshA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifvjceo3xmhucga7h3vlilv2aoobsrxxby2pk4zrggya2pjvbtqtm/metadata.json
IPFS of structure file: 
bafybeiexzwqqita4bi3qdgje64l2qpiorrnflzxzq5atscg5te2ev5joqa/AF-P9WJ68-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5548CBD0056D8b2CE423c442c9ED70e67Bed2558
First NFT owner address (bech32): 
genesis124yvh5q9dk9jeeprc3pvnmtsuea76f2c86jae0
Current NFT ID #411277 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
411277
Accession (UniProt):
P9WJ68
Name::
Anti-sigma factor RshA
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 P9WJ68 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WJ68|RSHA_MYCTO Anti-sigma factor RshA OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=rshA PE=2 SV=1 MSENCGPTDAHADHDDSHGGMGCAEVIAEVWTLLDGECTPETRERLRRHLEACPGCLRHYGLEERIKALIGTKCRGDRAPEGLRERLRLEIRRTTIIRGGP