B1YKS9 AF NFT

Chaperone protein DnaK

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiduhjii67n6mhfivh32u5xtroyimptqb3apz6oqtd7duil54aqosy/metadata.json
IPFS of structure file: 
bafybeiegfbugujyxdpq4iyqdusylbrmxvmzzubbiuy5qeogk7ik7bwlxzm/AF-B1YKS9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xdF2b063d4B94F3f46D117B1af99A846bD4a59284
First NFT owner address (bech32): 
genesis1mu4sv02tjnelgmg30vd0nx5yd022ty5y7akg2m
Current NFT ID #101280 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
101280
Accession (UniProt):
B1YKS9
Name::
Chaperone protein DnaK
Experimental Method:
Predicted structure
Sequence source:
Exiguobacterium sibiricum (strain DSM 17290 / CIP 109462 / JCM 13490 / 255-15)

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 B1YKS9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B1YKS9|DNAK_EXIS2 Chaperone protein DnaK OS=Exiguobacterium sibiricum (strain DSM 17290 / CIP 109462 / JCM 13490 / 255-15) OX=262543 GN=dnaK PE=3 SV=1 MAKIIGIDLGTTNSCVAVMEGGEPVVIANAEGNRTTPSVVAFKNGERQVGEVAKRQAITNPNTIMSIKRHMGTDYKVEVEGKDYTPQEVSAIILQKLKAQAEDYLGEKVTEAVITVPAYFNDAERQATKDAGTIAGLDVKRIINEPTAAALAYGLEKGEDHTILIYDLGGGTFDVSILELGDGVFEVVSTAGDSRLGGDDFDQKIIDHLVAEFKKDNGIDLAQDKMALQRLKDAAEKAKKDLSGVSSTQISLPFITAGAAGPLHLEMTLSRAKFDDLTADLVERTMAPTRRALSDAGMTPDKIDKIILVGGSTRIPAVQKAVQDFTGKESFKGVNPDEVVALGAAVQGGVLTGDVKDVVLLDVTPLSLGIETMGSVMTKLIDRNTTIPTSKSQVFSTAADNQPAVDIHVLQGERPMASDNKTLGRFQLTDIPPAQRGVPQIEVKFDIDANGIVNVSAKDLGTNKEQSITIQSSSGLTEADIDQMVKDAEANADADNKRKEEVELRNEADQLVFATDKAVKDLGEQIDAADKEKAEAAKEKVTTALAGTDVEAIRSAKDELSTVVQELTQKVYENMAQQQAGAEGAQAGGQDDNVMDAEFEEVDDKDNK