B2JGE2 AF NFT

Chaperone protein DnaK

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicqatmlnoiauurarbu3gz6vanfhg4wsedkipjj7zu2gyfa7zjekoe/metadata.json
IPFS of structure file: 
bafybeigptgouvfo4j4omz5ivrsvkcxpq26zqo3g2nhxhahqjni4vz3sx5q/AF-B2JGE2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x025f3b1a898b05AD2731bE6Ab72687b5920c4A3F
First NFT owner address (bech32): 
genesis1qf0nkx5f3vz66fe3he4twf58kkfqcj3lqjrpt3
Current NFT ID #101496 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
101496
Accession (UniProt):
B2JGE2
Name::
Chaperone protein DnaK
Experimental Method:
Predicted structure
Sequence source:
PARABURKHOLDERIA PHYMATUM (STRAIN DSM 17167 / CIP 108236 / LMG 21445 / STM815)

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 B2JGE2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B2JGE2|DNAK_PARP8 Chaperone protein DnaK OS=Paraburkholderia phymatum (strain DSM 17167 / CIP 108236 / LMG 21445 / STM815) OX=391038 GN=dnaK PE=3 SV=1 MGKIIGIDLGTTNSCVALMEGNQVKVIENSEGARTTPSIIAYMDDNEVLVGAPAKRQSVTNPKNTLYAVKRLIGRRFEEKEVQKDIGLMPYKIVKHDNGDAWVEAHGNKLAPSQVSAEVLRKMKKTAEDYLGEPVTEAVITVPAYFNDSQRQATKDAGRIAGLEVKRIINEPTAAALAFGLDKAEKGDRKIAVFDLGGGTFDISIIEIADVDGEKQFEVLSTNGDTFLGGEDFDQRIIDYIIGEFKKEQGVDLSKDVLALQRLKEAAEKAKIELSSGQQTEINLPYITADASGPKHLNLKITRAKLEALVEDLIERTIEPCRVAIKDAGVKVGEIDDVILVGGQTRMPKVQEKVKEFFGKDPRRDVNPDEAVAVGAAIQGQVLSGDRKDVLLLDVTPLSLGIETLGGVMTKMINKNTTIPTKHAQVYSTADDNQGAVTIKVFQGEREMAAGNKLLGEFNLEGIPPAPRGVPQIEVSFDIDANGILHVGAKDKATGKENRITIKANSGLSEAEIEKMVKDAEANAEEDHKLRELADARNQGDALVHSTKKALTEYGDKLEAGEKEKIEAALKDLEETLKNGSSDKAAIEAKIETVATASQKLGEKMYADMQAQGAAGAAGAAGGAGAAAGAEAAGASQQADDVVDAEFKEVKKD