B6JCI3 AF NFT

Chaperone protein DnaK

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihkrky4soomy2hyu7awjvhyquexkypjcqgocnjy3usb2hcxpnck6a/metadata.json
IPFS of structure file: 
bafybeihhj6zlndg7pfk4dt3hsn37xibpmkbo2bxk3ksigiqevhg6k3o44i/AF-B6JCI3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb10B578A27bBa6Cdba3967F273CC1582b84a5908
First NFT owner address (bech32): 
genesis1ky940z38hwnvmw3evle88nq4s2uy5kggj359qn
Current NFT ID #101043 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
101043
Accession (UniProt):
B6JCI3
Name::
Chaperone protein DnaK
Experimental Method:
Predicted structure
Sequence source:
Afipia carboxidovorans (strain ATCC 49405 / DSM 1227 / KCTC 32145 / OM5)

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 B6JCI3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B6JCI3|DNAK_AFIC5 Chaperone protein DnaK OS=Afipia carboxidovorans (strain ATCC 49405 / DSM 1227 / KCTC 32145 / OM5) OX=504832 GN=dnaK PE=3 SV=1 MGKVIGIDLGTTNSCVAVMDGKSPRVIENAEGMRTTPSIVALTDDDERLVGQPAKRQAVTNPEKTIFAVKRLIGRRYDDPTVAKDKDLVPYKIVKASNGDAWVEADGKIYSPSQISAFILQKMKETAEAHLGQKVDQAVITVPAYFNDAQRQATKDAGKIAGLEVLRIINEPTAAALAYGLDKAKQGTIAVYDLGGGTFDVSVLEIGDGVFEVKSTNGDTFLGGEDFDMRLVGYLADEFQKEQGINLRNDKLALQRLKEAAEKAKIELSSTTQTEINLPFITADASGPKHLTMKLTRAKFEALVDDLVQKTIEPCRKALKDAGLSAGEISEVVLVGGMTRMPKIQEVVKQFFGKEPHKGVNPDEVVAIGAAIQAGVLQGDVKDVLLLDVTPLSLGIETLGGVFTRIIERNTTIPTKKSQVFSTAEDNQNAVTIRVFQGEREMAADNKALGQFDLMGIPPAPRGMPQIEVTFDIDANGIVNVSAKDKATGKEQQIRIQASGGLSESEIEKMVKEAEANAAEDKKRREAVDAKNHADALVHSTEKALAEHGSKVGEGERKAIEDALADLKEALKGDDSEAIKAKSNTLAQASMKLGEAMYQQQAEGDAARDAAQDAAKDDVVDAEFTEVDDDKNDKKSA