Q67L72 AF NFT

Putative cysteine ligase BshC

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifebtykun54m47vhhtor753p66w5t4a25nkqquw4xpwmv2grbmdna/metadata.json
IPFS of structure file: 
bafybeidsqcpn5m67ty42ukdhznklvruqtft7kdj6gwb5vcpqzvi6gm3xdm/AF-Q67L72-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6dc74119484C5151aCc3EF094b7BB769Ff40c87f
First NFT owner address (bech32): 
genesis1dhr5zx2gf3g4rtxrauy5k7ahd8l5pjrl4ysygh
Current NFT ID #46623 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
46623
Accession (UniProt):
Q67L72
Name::
Putative cysteine ligase BshC
Experimental Method:
Predicted structure
Sequence source:
SYMBIOBACTERIUM THERMOPHILUM (STRAIN T / IAM 14863)

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 Q67L72 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q67L72|BSHC_SYMTH Putative cysteine ligase BshC OS=Symbiobacterium thermophilum (strain T / IAM 14863) OX=292459 GN=bshC PE=3 SV=2 MHIERVPGIALSPSGAVAAYLGDWARVAPAYEYDWRRQESFERRAAYLTGGGYAGDRAAVAAALERYNRALGADEASLENARLLGRPETLAAVTGQQAGILTGPAYSIYKAMTTIRLARQQSQRLGVPVVPVFWIAGEDHDWHEVSWVMVPAGNETRRLALSERFDGERRSVALAPMPASVSDLIDEFAQLMPDTEFKEEVIAHLREAAVGGPALDPEATGGAPSLADWFGRLMAWVFRGTGLVFLNSSDPALRRIEAPFFARALQQQAEVEAACAAGVDRWERELGFACTVEQTPNSLNLFIYIDGERLPLLGEGDRVWVRGRPDLSWSRSELVDLALRSPERFSTNVVLRPVVQSYLLPDLFYVGGPGEISYFGLLRDVYRAMGRQMPVVVPREGFTLVEPPIARILQKHELTLDDAFHRLDDLRQELLEREDRLGIAQAFASFRQDFERRHAELAALVLQLDPGLGQVVEENRRQIEHQINRLEEKAKQQHRKNCETALRQFDRLKANLTPNGLQERAFSILPYLVKYGPDLVRRLVDEVPLEEGWSHRAIYL