A7NS65 AF NFT | MOLNFT bioinformatics, blockchain

Chaperone protein DnaJ

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeickswljlp23uftekvrornuv2vbra2in5u5vltjnskfijpd5awwiga/metadata.json

IPFS of structure file:

bafybeifflycd2jghpj4e5xbe2bayeqoqlfqdclds4rxe7hbquckose7sbq/AF-A7NS65-F1-model_v2.pdb

First NFT owner address (eip-55):

0xfb49cebc2B9f6316AdA524277f3b6b0257EF2335

First NFT owner address (bech32):

genesis1ldyua0ptna33dtd9ysnh7wmtqft77ge4snnjlh

Current NFT ID #100830 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
100830
Accession (UniProt):
A7NS65
Name::
Chaperone protein DnaJ
Experimental Method:
Predicted structure
Sequence source:
ROSEIFLEXUS CASTENHOLZII (STRAIN DSM 13941 / HLO8)

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 A7NS65 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7NS65|DNAJ_ROSCS Chaperone protein DnaJ OS=Roseiflexus castenholzii (strain DSM 13941 / HLO8) OX=383372 GN=dnaJ PE=3 SV=1 MAVKRDYYEVLGVQRNASQDEIKKAFRRLARQYHPDVNKAPDAEAKFKEINEAYEVLSDPEKRSMYDRFGHAGPTAAPGFDPFASADPFSSIFETFFGGTMRGTQRGPQRGADLRYTLSISFEEAIFGVEKTIEYRRMETCPACRGSGAEPGTEPVRCPKCGGLGEIRQRAPLFNMVTVTTCDMCRGEGTVIAIPCRECRGEGRIRQTRKITVRVPPGVDSSAQIRISGEGDAGPRGGPYGNLYVVIDVQPHPFFIREGNDIILELPLNVAQAALGTEVDVPTIEGTERLHIPPGVQNGAVFRIRGKGAPFLRSSGRGDQIVVVRVVVPTNLNDHQRRLFEELARSLENEPIGNQRDEGFFGRIKNALGL