Lingling Geng

Structure-based design of peptides against G3BP with cytotoxicity on tumor cells.

Herein, we report a successful application of molecular modeling techniques to design two novel peptides with cytotoxicity on tumor cells. First, the interactions between the nuclear transport factor 2 (NTF2)-like domain of G3BP and the SH3 domain of RasGAP were studied by a well-designed protocol, which combines homology modeling, protein/protein docking, molecular dynamics simulations, molecular mechanics/generalized born surface area (MM/GBSA) free energy calculations, and MM/GBSA free energy decomposition analysis together. Then, based on the theoretical predictions, two novel peptides were designed and synthesized for biological assays, and they showed an obvious sensitizing effect on cis-platin. Furthermore, the designed peptides had no significant effects on normal cells, while cis-platin did. Our results demonstrate that it is feasible to use the peptides to enhance the efficacy of clinical drugs and to kill cancer cells selectively. We believe that our work should be very useful for finding new therapies for cancers.

Microarray Based Screening of Peptide Nano Probes for HER2 Positive Tumor

Peptides are excellent biointerface molecules and diagnostic probes with many advantages such as good penetration, short turnover time, and low cost. We report here an efficient peptide screening strategy based on in situ single bead sequencing on a microarray. Two novel peptides YLFFVFER (H6) and KLRLEWNR (H10) specifically binding to the tumor biomarker human epidermal growth factor receptor 2 (HER2) with aKD of 10(-8) M were obtained from a 10(5) library. Conjugated to nanoparticles, both the H6 and H10 probes showed specific accumulation in HER2-positive tumor tissues in xenografted mice by in vivo imaging.

Rapid Screening of Peptide Probes through In Situ Single-Bead Sequencing Microarray

Peptide ligands as targeting probes for in vivo imaging and drug delivery have attracted great interest in the biomedical community. However, high affinity and specificity screening of large peptide libraries remains a tedious process. Here, we report a continuous-flow microfluidic method for one-bead-one-compound (OBOC) combinatorial peptide library screening. We screened a library with 2 × 10(5) peptide beads within 4 h and discovered 140 noncanonical peptide hits targeting the tumor marker, aminopeptidase N (APN). Using the Clustal algorithm, we identified the conserved sequence Tyr-XX-Tyr in the N terminal. We demonstrated that the novel sequence YVEYHLC peptides have both nanomolar affinity and high specificity for APN in ex vivo and in vivo models. We envision that the successful demonstration of this integrated novel nanotechnology for peptide screening and identification open a new avenue for rapid discovery of new peptide-based reagents for disease diagnostics and therapeutics.

Unraveling the Allosteric Inhibition Mechanism of PTP1B by Free Energy Calculation Based on Umbrella Sampling

Protein tyrosine phosphatase 1B (PTP1B) is a promising target for the treatment of obesity and type II diabetes. Allosteric inhibitors can stabilize an active conformation of PTP1B by hindering the conformational transition of the WPD loop of PTP1B from the open to the closed state. Here, the umbrella sampling molecular dynamics (MD) simulations were employed to compute the reaction path of the conformational transition of PTP1B, and the snapshots extracted from the MD trajectory were clustered into 58 conformational groups based on the key conformational parameter. Then, the impact of the conformational change of the WPD loop on the interactions between the allosteric site of PTP1B and an allosteric inhibitor BB3 was explored by using the MM/GBSA binding free energy calculations and free energy decomposition analysis. The simulation results show that the binding free energy of BB3 increases gradually from the open to the closed conformation of the WPD loop, providing the molecular mechanism of allosteric inhibition. Correlation analysis of the different energy terms indicates that the allosteric inhibitor with more negative van der Waals contribution cannot only exhibit stronger binding affinity but also hinder the swing of the WPD loop more effectively. Besides, it is found that the energy contribution of Lys292 in the α7 helix undergoes significant change, which reveals that Lys292 is not only the key residue for ligand binding but also plays an important role in hindering the conformational change of the WPD loop.

Computational insights into the selectivity mechanism of APP-IP over matrix metalloproteinases

In this work, selectivity mechanism of APP-IP inhibitor (β-amyloid precursor protein-derived inhibitory peptide) over matrix metalloproteinases (MMPs including MMP-2, MMP-7, MMP-9 and MMP-14) was investigated by molecular modeling methods. Among MMPs, MMP-2 is the most favorable one for APP-IP interacting based on our calculations. The predicted binding affinities can give a good explanation of the activity difference of inhibitor APP-IP. In Comparison with MMP-2/APP-IP complex, the side chain of Tyr214MMP-7 makes the binding pocket so shallow that the whole side chain of Tyr3APP-IP can not be fully embraced, thus unfavorable for the N-terminal of APP-IP binding to MMP-7. The poor selectivity of APP-IP toward MMP-9 is mainly related with the decrease of interaction between the APP-IP C-terminal and MMP-9 due to the bulky side chains of Pro193 and Gln199, which is in agreement with experiment. The mutations at residues P193A and Q199G of MMP-9 alternate the binding pattern of the C-terminal of APP-IP by forming two new hydrogen bonds and hydrophobic interactions with MMP-9. The mutants favor the binding affinity of MMP-9 largely. For MMP-14/APP-IP, the large steric effect of Phe204MMP-14 and the weak contributions of the polar residues Asn231MMP-14 and Thr190MMP-14 could explain why MMP-14 is non-selective for APP-IP interacting. Here, the molecular modeling methods were successfully employed to explore the selective inhibitor of MMPs, and our work gives valuable information for future rational design of selective peptide inhibitors toward individual MMP.

HER2 Targeting Peptides Screening and Applications in Tumor Imaging and Drug Delivery.

Herein, computational-aided one-bead-one-compound (OBOC) peptide library design combined with in situ single-bead sequencing microarray methods were successfully applied in screening peptides targeting at human epidermal growth factor receptor-2 (HER2), a biomarker of human breast cancer. As a result, 72 novel peptides clustered into three sequence motifs which are PYL***NP, YYL***NP and PPL***NP were acquired. Particularly one of the peptides, P51, has nanomolar affinity and high specificity for HER2 in ex vivo and in vivo tests. Moreover, doxorubicin (DOX)-loaded liposome nanoparticles were modified with peptide P51 or P25 and demonstrated to improve the targeted delivery against HER2 positive cells. Our study provides an efficient peptide screening method with a combination of techniques and the novel screened peptides with a clear binding site on HER2 can be used as probes for tumor imaging and targeted drug delivery.

Structure-based Design of Peptides with High Affinity and Specificity to HER2 Positive Tumors.

To identify peptides with high affinity and specificity against human epidermal growth factor receptor 2 (HER2), a series of peptides were designed based on the structure of HER2 and its Z(HER2:342) affibody. By using a combination protocol of molecular dynamics modeling, MM/GBSA binding free energy calculations, and binding free energy decomposition analysis, two novel peptides with 27 residues, pep27 and pep27-24M, were successfully obtained. Immunocytochemistry and flow cytometry analysis verified that both peptides can specifically bind to the extracellular domain of HER2 protein at cellular level. The Surface Plasmon Resonance imaging (SPRi) analysis showed that dissociation constants (KD) of these two peptides were around 300 nmol/L. Furthermore, fluorescence imaging of peptides against nude mice xenografted with SKBR3 cells indicated that both peptides have strong affinity and high specificity to HER2 positive tumors.

Chiral Nanoparticle as a New Efficient Antimicrobial Nanoagent

d-type functionalized nanoparticles (NPs) can bind to MurD ligase with high affinity and inhibit its peptidoglycan synthetic enzyme activity, and finally cause bacterial killing. In contrast, its L-type counterpart displays a negligible effect, indicating that the chiral structure of the functionalized NPs plays an essential role in their binding interaction with MurD and therefore the antibacterial activity.

Peptide probes derived from pertuzumab by molecular dynamics modeling for HER2 positive tumor imaging

A high level of HER2 expression in breast cancer correlates with a higher tumor growth rate, high metastatic potential, and a poor long-term patient survival rate. Pertuzumab, a human monoclonal antibody, can reduce the effect of HER2 overexpression by preventing HER2 dimerization. In this study, a combination protocol of molecular dynamics modeling and MM/GBSA binding free energy calculations was applied to design peptides that interact with HER2 based on the HER2/pertuzumab crystal structure. Based on a β hairpin in pertuzumab from Glu46 to Lys65—which plays a key role in interacting with HER2—mutations were carried out in silico to improve the binding free energy of the hairpin that interacts with the Phe256-Lys314 of the HER2 protein. Combined the use of one-bead-one-compound library screening, among all the mutations, a peptide (58F63Y) with the lowest binding free energy was confirmed experimentally to have the highest affinity, and it may be used as a new probe in diagnosing and treating HER2-positive breast cancer.