Q81DF9 AF NFT

DEAD-box ATP-dependent RNA helicase CshE

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigterz2qahepckl6v5fyuuwaqodll5xh5vomruyaorxa27pjyopya/metadata.json
IPFS of structure file: 
bafybeidg4syyi2i3hmam5bbcphw3h3mtj3ddnaq7x2dvqmjlw6sbedrt6y/AF-Q81DF9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3a04CC4b1EEd60433A5218ce3Fa27E32A78EAeC8
First NFT owner address (bech32): 
genesis18gzvcjc7a4syxwjjrr8rlgn7x2ncatkgrk3dx5
Current NFT ID #78340 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
78340
Accession (UniProt):
Q81DF9
Name::
DEAD-box ATP-dependent RNA helicase CshE
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711)

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 Q81DF9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q81DF9|CSHE_BACCR DEAD-box ATP-dependent RNA helicase CshE OS=Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711) OX=226900 GN=cshE PE=2 SV=1 MVYLKNFLELGISETFNHTLRENGITEATPIQEKAIPVILSGKDIIGQAKTGTGKTLAFVLPILEKIDPECSDVQALIVAPTRELALQITTEIKKMLVQREDINVLAIYGGQDVAQQLRKLKGNTHIVVATPGRLLDHIRRETIDLSNLSTIVLDEADQMLYFGFLYDIEDILDETPGSKQTMLFSATMPKDIKKLAKRYMDEPQMIQVQSEEVTVDTIEQRVIETTDRAKPDALRFVMDRDQPFLAVIFCRTKVRASKLYDNLKGLGYNCAELHGDIPQAKRERVMKSFREAKIQYLIATDVAARGLDVDGVTHVFNYDIPEDVESYIHRIGRTGRAGGSGLAITFVAAKDEKHLEEIEKTLGAPIQREIIEQPKIKRVDENGKPVPKPAPKKSGQNRQRDSREGSRSDSRRDSRNSSRSDSRNSSRNSSRNENNRSFNKPSNKKGSTKQGQQRRGR