Biomedical subjects

Changjun Chen

Publications and source records attributed to Changjun Chen.

6 recordsLinked to original sources

PubMed2007

All-atom contact potential approach to protein thermostability analysis.

In this paper we use all-atom potential energy to define and analyze the inter-residue contacts in mesophilic and thermophilic proteins. Fifteen families of proteins are selected and each family has two representative proteins with greatly different preferred environmental temperatures. We find that both the number and energy of the contacts defined in this way show stronger correlations with the preferred temperatures of proteins than other factors used before. We also find that the charged-polar and charged-nonpolar residue contacts not only have larger contact numbers but also have lower single contact energies. Furthermore, the most important is that most of the thermophilic proteins have more charged-polar and charged-nonpolar residue contacts than their mesophilic counterparts. This suggests that they may play an important role in the thermostability of proteins, except usual charged-charged and nonpolar-nonpolar residue contacts. Charged residues may exert their profound influence by forming contacts not only with other charged residues but also with polar or nonpolar residues, thus further increasing the strength of contact network and then the thermostability of proteins.

Models, Chemical↗

PubMed2006

Molecular dynamics simulations of folding processes of a beta-hairpin in an implicit solvent.

Computer simulations of beta-hairpin folding are relatively difficult, especially those based on the explicit water model. This greatly limits the complete analysis and understanding of their folding mechanisms. In this paper, we use the generalized Born/solvent accessible implicit solvent model to simulate the folding processes of a nine-residue beta-hairpin. We find that the beta-hairpin can fold into its native structure very easily, even using the traditional molecular dynamics method. This allows us to extract 21 complete folding events and investigate the folding process sufficiently. Our results show that there exist four most stable states on the free energy landscape of the short peptide, one native state and three intermediates. We find that two of the non-native stable states have almost the same potential energy as the native state but with lower entropy. This suggests that the native state can be stabilized entropically. Furthermore, we find that the folding processes of this peptide have common features: to fold into its native state, the peptide undergoes a continuous collapsing-extending-recollapsing process to adjust the positions of the side chains in order to form the native middle inter-strand hydrogen bonds. The formations of these bonds are the key step of the folding process. Once these bonds are formed, the peptide can fold into the native state quickly.

Computer Simulation↗

PubMed2006

Identification of key residues in proteins by using their physical characters.

Key residues in proteins are important to their stability, folding, and functions. They usually are highly conserved and can be identified by sequence or structure alignments. However, these methods can only determine the locations of key residues in sequences and structures and give less information about their physical characters. In this paper, we try to identify key residues by analyzing their inter-residue interactions. The model we study is the protein domain from transducin. We show that the usual Gaussian network analysis and distance-based contact analysis have difficulty identifying the key residues in this protein, but the contact energies can do it well. We find that most key residues can be located by the lowest contact energies. This enables us to predict and analyze the key residues in other proteins. Our results suggest that contact energy analysis may provide an alternative approach to investigating the folding and stability of proteins.

Amino Acid Sequence↗

PubMed2006

A study on the molecular mechanism of resistance to amicarthiazol in Xanthomonas campestris pv. citri.

Three amicarthiazol-resistant mutants (Xuv10, Xuv20 and Xuv40) were obtained by UV induction and used in this study. Minimal inhibition concentrations (MICs) of amicarthiazol against the growth of mutants and wild-type isolate were 400 and 100 microg ml(-1) respectively. Inhibition by amicarthiazol of succinate dehydrogenase (SDH) activities of Xanthomonas campestris pv. citri (Hasse) Dye wild-type isolate (Xcc) and three resistant mutants derived from this isolate were assayed using triphenyltetrazolium chloride (TTC). The SDH activities of these mutants were significantly lower than that of Xcc. The complete nucleotide sequences of four subunits (SdhA, SdhB, SdhC and SdhD) of succinate-ubiquinone oxidoreductase (SQR) were cloned by polymerase chain reaction (PCR) amplification. An amino acid mutation (His229--> Leu229) in sdhB was found to confer resistance of X. campestris pv. citri to amicarthiazol. It is suggested that this mutation alters the SDH complex in some way that prevents binding of amicarthiazol.

Amino Acid Substitution↗

PubMed2005

Improvement on a simplified model for protein folding simulation.

Improvements were made on a simplified protein model--the Ramachandran model-to achieve better computer simulation of protein folding. To check the validity of such improvements, we chose the ultrafast folding protein Engrailed Homeodomain as an example and explored several aspects of its folding. The engrailed homeodomain is a mainly alpha-helical protein of 61 residues from Drosophila melanogaster. We found that the simplified model of Engrailed Homeodomain can fold into a global minimum state with a tertiary structure in good agreement with its native structure.

Amino Acid Sequence↗

PubMed2005

A directed essential dynamics simulation of peptide folding.

We present a directed essential dynamics (DED) method for peptide and protein folding. DED is a molecular dynamics method based on the essential dynamics sampling and the principal component analysis. The main idea of DED is to use principal component analysis to determine the direction of the most active collective motion of peptides at short intervals of time (20 fs) during the folding process and then add an additional force along it to adjust the folding direction. This method can make the peptides avoid being trapped in the local minima for a long time and enhance the sampling efficiency in conformational space during the simulation. An S-peptide with 15 amino acids is used to demonstrate the DED method. The results show that DED can lead the S-peptide to fold quickly into the native state, whereas traditional molecular dynamics needs more time to do this.

Biophysics↗