Q6G7P3 AF NFT

Anti-sigma-B factor antagonist

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihk4sqswh5fv6tceo5yjjlrw4b2t4azrzbzve7g6sysbxzpytzmde/metadata.json
IPFS of structure file: 
bafybeiamqfze2fa5kvyhsnt6z3f2k425pjotbsr3b6xwezxno6ho2ryzey/AF-Q6G7P3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD990Dd514475fA05b661C6Bfc55B2BE59619c16d
First NFT owner address (bech32): 
genesis1mxgd652ywhaqtdnpc6lu2ketuktpnstdt7v50g
Current NFT ID #410782 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
410782
Accession (UniProt):
Q6G7P3
Name::
Anti-sigma-B factor antagonist
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS AUREUS (STRAIN MSSA476)

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 Q6G7P3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6G7P3|RSBV_STAAS Anti-sigma-B factor antagonist OS=Staphylococcus aureus (strain MSSA476) OX=282459 GN=rsbV PE=3 SV=1 MNLNIETTTQDKFYEVKVGGELDVYTVPELEEVLTPMRQDGTRDIYVNLENVSYMDSTGLGLFVGTLKALNQNDKELYILGVSDRIGRLFEITGLKDLMHVNEGTEVE