Q2S307 AF NFT

Chaperone protein DnaK

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeida4p6uh6pfmmhm6l7lrfz6fjbsrrmtmrswx2fbxzy5hj5lznb6je/metadata.json
IPFS of structure file: 
bafybeidcgieuk63ldt2iym5etutaqudtn2s6dkrcx3qnvihhnugji3vpqm/AF-Q2S307-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa5bBccF395a3ABe9B629B9f9f8fBd173cC6F75b8
First NFT owner address (bech32): 
genesis15kaueuu45w47nd3fh8ul3773w0xx7adc7y3tgz
Current NFT ID #101606 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
101606
Accession (UniProt):
Q2S307
Name::
Chaperone protein DnaK
Experimental Method:
Predicted structure
Sequence source:
Salinibacter ruber (strain DSM 13855 / M31)

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 Q2S307 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2S307|DNAK_SALRD Chaperone protein DnaK OS=Salinibacter ruber (strain DSM 13855 / M31) OX=309807 GN=dnaK PE=3 SV=1 MGKVIGIDLGTTNSVVAVMEGDDPEVIENAEGSRTTPSVVAYKDDGERLVGAPAKRQAITNPENTVSSIKRFMGRFYDEVEDEIEEVPYEVVRGENDTARVQIGDRKYTPQEISAVVLQKLKQTAEDYLGQEVTDAVITVPAYFNDAQRKATQEAGEIAGLNVQRIINEPTAASLAYGLDDESDQVVAVYDLGGGTFDVSILELGDGVFEVNATYGDTHLGGDNFDKRLIDHIADEFEQDTGIDLRDDPMALQRLKEAAEEAKIELSSAKTTTINLPFITATDEGPQHLNMDLNRATFENLIEDLVEKTVPQMEKALDDAGHSKSDVDEVILVGGSTRVPLVQETVEDFFGKQANKSVNPDEVVSLGAAVQGGVLSGDVDDVLLLDVTPLNLGIETLGGVMTTLIEANTTIPTKESEVFSTAADNQTSVEVHVLQGDREMAKDNRTLGRFHLDGIPPAPRGTPQIEVTFDINADGILNVSAEDKDTGKEQSIRVEANSGLSDEEIEKMKEEAEQHAEEDERRKERADTINEANSMAYSVEQGLEEYGDKIPEDKRSTLQEALDALNEELETASADEDITALEDALEELNAAWSAAGEEIREAQQQQAQQGAAAGAGAGAAGAGAAAGAEGPAGGPTGGPASGNGAADSDEEDVQDADYEVVDEGDDE