Q87FA1 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiedjevtkqcysibfotnmhzcd276prjdvthf3zkwk7idfckh76c2lf4/metadata.json
IPFS of structure file: 
bafybeig2wx3ccfrv2mmu23qpr4ir4uiwzlnatyqxgtguqylunxxvllllk4/AF-Q87FA1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd92eb9B6Bd45d2c5FBB3651b469A6CA52af64a1D
First NFT owner address (bech32): 
genesis1myhtnd4aghfvt7anv5d5dxnv5540vjsap4k3nj
Current NFT ID #244914 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244914
Accession (UniProt):
Q87FA1
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Xylella fastidiosa (strain Temecula1 / ATCC 700964)

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 Q87FA1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q87FA1|MSCL_XYLFT Large-conductance mechanosensitive channel OS=Xylella fastidiosa (strain Temecula1 / ATCC 700964) OX=183190 GN=mscL PE=3 SV=1 MSFIREFKEFVMRGNVIDLAVAVVIGAAFGKIVTALVDKIISPLIGVMVGGIDFSKLSLTLKAATVDTAGKEVPAVVIGYGDFINTILQFIIIAFAIFIIVKMINKVINKQPLPPETPSEDVLLLREIRDSLKK