C6BSF2 AF NFT

Chaperone protein DnaK

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiecslmpsif7ux3yibsf47vl5bv4lglqs6n6u6muyrkdk4rduyywki/metadata.json
IPFS of structure file: 
bafybeidezbaqbf6kxhos4fhw2ye4amemvabedfadmebawnlid5tt7shjjq/AF-C6BSF2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4Ef77Afb5a3D9F41c95Be3227D1CC986CCb61835
First NFT owner address (bech32): 
genesis1fmmh47668k05rj2muv3868xfsmxtvxp4uykwq9
Current NFT ID #101407 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
101407
Accession (UniProt):
C6BSF2
Name::
Chaperone protein DnaK
Experimental Method:
Predicted structure
Sequence source:
Maridesulfovibrio salexigens (strain ATCC 14822 / DSM 2638 / NCIMB 8403 / VKM B-1763)

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 C6BSF2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C6BSF2|DNAK_MARSD Chaperone protein DnaK OS=Maridesulfovibrio salexigens (strain ATCC 14822 / DSM 2638 / NCIMB 8403 / VKM B-1763) OX=526222 GN=dnaK PE=3 SV=1 MSKIIGIDLGTTNSCVYVMEGKDPKCVTNAEGGRTTPSIVGFTDKERLVGEIAKRQAVTNPEKTVFAIKRLMGRQASSPEVKKWADHCPYPIVDGKGGDAWVEIEGKKYSPSEVSAIILQQLKKDAETYLGETVSEAVITVPAYFNDSQRQATKDAGRIAGLEVKRIINEPTAASLAYGFDKKANEKIAVFDLGGGTFDISILEVGDNVVEVRATNGDTFLGGEDFDNAVIQYLVEEFKRENGIDLSADRMALQRLKEAGEKAKKELSTAMETEVNLPFITADQNGPKHLMVKISRAKLEKLVEDLVERTKVPCQKALKDAGLTAADIDEVILVGGMTRMPLVQQKVQEFFGKEPNRSVNPDEVVAMGASIQGGILAGDVKDVLLLDVTPLSLGIETMGGVFTNLIERNTTIPTRKSQVFTTAADNQPSVSIHVLQGERPMAADNMTLGRFELTGLPAAPRGVPQIEVTFDIDANGIVNVSAKDMGTGKEQSIQITASSGLSEEDIEKMVKDAESHAEDDKKKQALIEARNQADSLIYTTEKSLREVGENVDAALKSDIEAKIEDLKKVQDSDDPETIKQATDALAQASHKLAEQLYAQQNAGAEGAEGPEGAANAGAAGADDDVVDADFTEVKDEKK