A0RHU0 AF NFT

Putative cysteine ligase BshC

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicstxb5g7zx35i4ktdvwyyqtgtbpperdrxg7hx6vzdjces6oue3sa/metadata.json
IPFS of structure file: 
bafybeifomzm3ltnjtwlngkcx7p6gd4mhjhikqhatfwzyiixso7xgsw4ox4/AF-A0RHU0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa3452b8cEc5f7d4aA7eA35d2483a9795B3ae3C17
First NFT owner address (bech32): 
genesis15dzjhr8vta754fl2xhfysw5hjke6u0qh5lqay6
Current NFT ID #46556 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
46556
Accession (UniProt):
A0RHU0
Name::
Putative cysteine ligase BshC
Experimental Method:
Predicted structure
Sequence source:
Bacillus thuringiensis (strain Al Hakam)

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 A0RHU0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0RHU0|BSHC_BACAH Putative cysteine ligase BshC OS=Bacillus thuringiensis (strain Al Hakam) OX=412694 GN=bshC PE=3 SV=2 MEIKEISVPQQGVVADYMNGKKEIQSCFDYMLTEDAFKQRVQDLREREFFRQDLVTHLLEYNTKLQAGEATIQNVKALGDENTYVVIAGQQAGLLTGPLYTIHKIISVLQLAKEKEESLGVKVVPVFWIAGEDHDMDEINHTFVTKNKKIKKTIFHDRNPKKASASESELSLEDCRKWIEEIFKTYPETNFTKDVLQFVDDSLRKSNTYVDFFGHLIMKMFVNSGLILVDSHHPELRKLEVPFFKQIVSKYKEVQEGLHNQQEVIKELGYKPIIETKSNAVHIFMEIDNERVLLEDNQGKFVGKDGTYSFSYEELIEEMERSPERFSNNVVTRPLMQEYVFPTLAFIGGPGELAYWSELQQVFHTIGFRMPPVVPRITITYIERDIATDLHDLQLQERDPFLNNVDKLRENWLSNQIEEPIDDRFVEAKKEIMNIHTSLQQFVKEIDPGLSAFAGKNEFKINEQIELLERMLKRNVEKKHEVELNKFRRIQFALRPLGAPQERVWNVCYYLNQFGLDFVDHVMEKTFSWNGKHHVIKL