P57950 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif3sxh4o4dvyvgi524xxltrdhdqnb5fgij7yduleaaooh7mtj56se/metadata.json
IPFS of structure file: 
bafybeicd6dqzqhyy3hzm2gdmrpqf2hsg53k6riopx2uteypdbba63am2ni/AF-P57950-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x42b99fCBf328028516680849Fb75A6A83F1A1bF1
First NFT owner address (bech32): 
genesis1g2ueljln9qpg29ngppylkadx4ql35xl3j2enna
Current NFT ID #244785 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
244785
Accession (UniProt):
P57950
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
PASTEURELLA MULTOCIDA (STRAIN PM70)

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 P57950 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P57950|MSCL_PASMU Large-conductance mechanosensitive channel OS=Pasteurella multocida (strain Pm70) OX=272843 GN=mscL PE=3 SV=1 MSFVKEFREFAMRGNVVDMAVGVIIGGAFGKIVSSLVGDVVMPVLGILTGGVDFKDLSIVLKEAAGEVPAVTLNYGAFIQTVFDFVIIAFAIFLMIKALNKLKREEPKVEEPAEPKLSNEEVLLTEIRDLLKK