Q9K7A0 AF NFT

Probable cysteine desulfurase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibdbice7cqf2qztni6afkyqigrquvslvfu46hhznrm5jmwtkryeoe/metadata.json
IPFS of structure file: 
bafybeidknfffcrumpdiosxo6f5qwqn3uddpfnyb3alxlk6ixiy75jke7n4/AF-Q9K7A0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd1A2963012bEcbC7A8f505464439Ab678C48936f
First NFT owner address (bech32): 
genesis16x3fvvqjhm9u0284q4rygwdtv7xy3ym0jw3rdp
Current NFT ID #78159 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
78159
Accession (UniProt):
Q9K7A0
Name::
Probable cysteine desulfurase
Experimental Method:
Predicted structure
Sequence source:
Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125)

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 Q9K7A0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9K7A0|CSD_ALKHC Probable cysteine desulfurase OS=Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125) OX=272558 GN=csd PE=3 SV=2 MNAHEIKKLFPVLDQEVNGSPLVYLDSAATSQKPIAVIEALDDYYRRYNSNVHRGVHTLGTLATDGYEGAREKIRRFIHASSTEEIIFTRGTTTAINLVAASYGRANLGEGDEIVITPMEHHSNIIPWQQVAKATGATLTYLPLQKDGTIKIEDVEKTISEKTKIVAIMHVSNVLGTINPVKEIAEIAHRHGAIMLVDGAQSAPHMKIDVQELGCDFFAFSGHKMAGPTGIGVLYGKKAHLEKMEPVEFGGEMIDFVGLYDSTWKELPWKFEGGTPIIAGAIGLGAAIDFLEDIGLDEIEKHEHELAQYALDRLSELEGMTVYGPQKRAGLVTFNIEDVHPHDVATVLDADGIAVRAGHHCAQPLMKWLDVTATARASFYLYNTKEDIDALAKGLEKTKEYFGHVF