Classifying the superfamily of small heat shock proteins by using g-gap dipeptide compositions.

Small heat shock protein (sHSP) is a superfamily of molecular chaperone and is found from archaea to human. Recent researches have demonstrated that sHSPs participate in a series of biological processes and are even closely associated with serious diseases. Since sHSP is a very large superfamily and members from different superfamilies exhibit distinct functions, accurate classification of the subfamily of sHSP will be helpful for unrevealing its functions. In the present work, a support vector machine-based method was proposed to classify the subfamily of sHSPs. In the 10-fold cross validation test, an overall accuracy of 93.25% was obtained for classifying the subfamily of sHSPs. The superiority of the proposed method was also demonstrated by comparing it with the other methods. It is anticipated that the proposed method will become a useful tool for classifying the subfamily of sHSPs.

Dipeptide species regulate p38MAPK-Smad3 signalling to maintain chronic myelogenous leukaemia stem cells.

Understanding the specific survival of the rare chronic myelogenous leukaemia (CML) stem cell population could provide a target for therapeutics aimed at eradicating these cells. However, little is known about how survival signalling is regulated in CML stem cells. In this study, we survey global metabolic differences between murine normal haematopoietic stem cells (HSCs) and CML stem cells using metabolomics techniques. Strikingly, we show that CML stem cells accumulate significantly higher levels of certain dipeptide species than normal HSCs. Once internalized, these dipeptide species activate amino-acid signalling via a pathway involving p38MAPK and the stemness transcription factor Smad3, which promotes CML stem cell maintenance. Importantly, pharmacological inhibition of dipeptide uptake inhibits CML stem cell activity in vivo. Our results demonstrate that dipeptide species support CML stem cell maintenance by activating p38MAPK-Smad3 signalling in vivo, and thus point towards a potential therapeutic target for CML treatment.

Investigating diproline segments in proteins: occurrences, conformation and classification.

The covalent linkage between the side-chain and the backbone nitrogen atom of proline leads to the formation of the five-membered pyrrolidine ring and hence restriction of the backbone torsional angle ϕ to values of -60 °± 30° for the L-proline. Diproline segments constitute a chain fragment with considerably reduced conformational choices. In the current study, the conformational states for the diproline segment (( L) Pro-( L) Pro) found in proteins has been investigated with an emphasis on the cis and trans states for the Pro-Pro peptide bond. The occurrence of diproline segments in turns and other secondary structures has been studied and compared to that of Xaa-Pro-Yaa segments in proteins which gives us a better understanding on the restriction imposed on other residues by the diproline segment and the single proline residue. The study indicates that P(II) -P(II) and P(II) -α are the most favorable conformational states for the diproline segment. The analysis on Xaa-Pro-Yaa sequences reveals that the Xaa-Pro peptide bond exists preferably as the trans conformer rather than the cis conformer. The present study may lead to a better understanding of the behavior of proline occurring in diproline segments which can facilitate various designed diproline-based synthetic templates for biological and structural studies.

Modeling of the relationship between dipeptide structure and dipeptide stability, permeability, and ACE inhibitory activity.

Selected di- and tripeptides exhibit angiotensin-I converting enzyme (ACE) inhibitory activity in vitro. However, the efficacy in vivo is most likely limited for most peptides due to low bioavailability. The purpose of this study was to identify descriptors of intestinal stability, permeability, and ACE inhibitory activity of dipeptides. A total of 228 dipeptides were synthesized; intestinal stability was obtained by in vitro digestion, intestinal permeability using Caco-2 cells and ACE inhibitory activity by an in vitro assay. Databases were constructed to study the relationship between structure and activity, permeability, and stability. Quantitative structure-activity relationship (QSAR) modeling was performed based on computed models using partial least squares regression based on 400 molecular descriptors. QSAR modeling of dipeptide stability revealed high correlation coefficients (R > 0.65) for models based on Z and X scales. However, amino acid (AA) clustering showed the best results in describing stability of dipeptides. The N-terminal AA residues Asp, Gly, and Pro as well as the C-terminal residues Pro, Ser, Thr, and Asp stabilize dipeptides toward luminal enzymatic peptide hydrolysis. QSAR modeling did not reveal significant correlation models for intestinal permeability. 2D-fingerprint models were identified describing ACE inhibitory activity of dipeptides. The intestinal stability of 12 peptides was predicted. Peptides were synthesized and stability was confirmed in simulated digestion experiments. Based on the results, specific dipeptides can be designed to meet both stability and activity criteria. However, postabsorptive ACE inhibitory activities of dipeptides in vivo are most likely limited due to the very low intestinal permeability of dipeptides.

Modeling dipeptides as ACE inhibitors and bitter-tasting compounds by means of E-state structure-information representation.

Topological Structure-Information Representation (SIR) serves as the basis for QSAR model development on two data sets of dipeptides. Data sets of both bitter-taste (48 compounds) and angiotensin-converting-enzyme (ACE) inhibition (58 compounds) were analyzed by means of multiple linear-regression methods to produce QSAR models that relate structure to property. For the bitter-taste data set, two variables describe the data well, both being whole-molecule descriptors: (1)chi(v) (molecular connectivity first-order valence index) and SHBa (sum of E-State indices for H-bond acceptors) yield r(2)=0.88, s=0.22. External validation and cross-validation indicate that the model may be predictive. For the ACE-inhibition data set, five variables produced a satisfactory model. Four of the descriptors relate to amino acid side chains: the E-State polarity/non-polarity index Q(v) (for position A adjacent to the N-terminus; Fig. 1) and the E-State index s(2) (for the backbone position of substitution), along with the square of the molecular connectivity path-four valence index ((4)chi(PC); for side chain B adjacent to C-terminus) and the E-State index s(5) (for the attachment point of the side chain B (Fig. 1)). Together with the E-State whole-molecule descriptor for internal H-bonding (five skeletal bonds; SHBint5), the five variables form a predictive model (r(2)=0.88, s=0.36). Both external-test and cross-validation-test statistics indicate that the model may be predictive. This study is the first investigation in which E-State descriptors are developed for amino acid side chains.

Structural distribution of dipeptides that are identified to be determinants of intracellular protein stability.

The dipeptides that had been previously implicated as determinants of in vivo protein stability (Guruprasad, K., Reddy, B.V.B. and Pandit, M.W., 1990. Protein Eng. 4, 155-161) have been reassessed on a latest data set and about 25% dipeptide combinations (102 dipeptides) were found to play significant role in determining the intracellular protein stability. These were classified as stabilizing dipeptides (Stb), destabilizing dipeptides (Dst) and normal dipeptides (Nor). By different theoretical approaches we have investigated the global localization of these dipeptides in a set of 303 best resolved (< or = 2.0A) non-homologous X-ray defined protein structures. The Dst dipeptides are found to be more of hydrophilic combinations where as Stb dipeptides are more of hydrophobic combinations. We observed a significant difference in overall frequency of occurrence of Stb and Dst dipeptides in different secondary structural regions. The sensitive dipeptides (Stb + Dst) are less in beta-strands and more in coils. A high frequency of occurrence of Stb are observed in the regions closer to the molecular surface compared to the Dst and Nor dipeptides. A significantly high dipole interactions are observed in the Dst dipeptides. The studies indicate that though the Dst dipeptides are more of hydrophilic nature they are localized significantly more in the buried regions of protein structures, on the other hand Stb are more of hydrophobic nature but relatively more accessible to the solvent. These dipeptides therefore increasing sensitivity of the protein to external environment, any alteration in their occurrence in the sequence could increase or decrease intracellular stability of the protein. These observations are useful to select mutations to alter intracellular stability of a given protein and therefore have implications in protein engineering.