P9WJ64 AF NFT

Anti-sigma-M factor RsmA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaqj2rf67qv2qfjuxewdxkuoid7tun37co6ebs2lawfmwg6nyqnw4/metadata.json
IPFS of structure file: 
bafybeid7rleirr6xqa3lqv4zozuifu2ewgj6cislhiumrlzl4agtzkop6i/AF-P9WJ64-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xDabAa5473122e244d48C228e8a60D59dA35E5D2D
First NFT owner address (bech32): 
genesis1m2a223e3yt3yf4yvy28g5cx4nk34uhfdk7kser
Current NFT ID #411341 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
411341
Accession (UniProt):
P9WJ64
Name::
Anti-sigma-M factor RsmA
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 P9WJ64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WJ64|RSMAF_MYCTO Anti-sigma-M factor RsmA OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=rsmA PE=3 SV=1 MSAADKDPDKHSADADPPLTVELLADLQAGLLDDATAARIRSRVRSDPQAQQILRALNRVRRDVAAMGADPAWGPAARPAVVDSISAALRSARPNSSPGAAHAARPHVHPVRMIAGAAGLCAVATAIGVGAVVDAPPPAPSAPTTAQHITVSKPAPVIPLSRPQVLDLLHHTPDYGPPGGPLGDPSRRTSCLSGLGYPASTPVLGAQPIDIDARPAVLLVIPADTPDKLAVFAVAPHCSAADTGLLASTVVPRA