P0C0Q7 AF NFT

Anti-sigma-B factor antagonist

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidzazxgnfvvjrpxghpdiyeqrphg7dtwq3jhjxkgb2tljajgzagseq/metadata.json
IPFS of structure file: 
bafybeihjxd6res33yt2xj3g2feppgsxwop5fhi3lsuop6gghpdaz7mbpbq/AF-P0C0Q7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x30281DB7A9A079156752d613E3c3BDd4099b1a02
First NFT owner address (bech32): 
genesis1xq5pmdaf5pu32e6j6cf78saa6syekxszr290py
Current NFT ID #410784 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
410784
Accession (UniProt):
P0C0Q7
Name::
Anti-sigma-B factor antagonist
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS EPIDERMIDIS

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 P0C0Q7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0C0Q7|RSBV_STAEP Anti-sigma-B factor antagonist OS=Staphylococcus epidermidis OX=1282 GN=rsbV PE=3 SV=1 MNLNIETITHDDFYEVKVGGELDVYTVPELEEVLVPMRQEGTHDVHVNLANVSYMDSTGLGLFVGTLKALNQNDKNLYILGVSERIGRLFDITGLKDLMHVNEGTEVE