Peptide Length Research Articles

A simple pan-specific RNN model for predicting HLA-II binding peptides

The prediction of human leukocyte antigen (HLA) class II binding peptides plays important roles in understanding the mechanism of immune recognition and developing effective epitope-based vaccines. In this work, gated recurrent unit (GRU)-based recurrent neural network (RNN) was successfully employed to establish a pan-specific prediction model of HLA-II-binding peptides by using only the HLA and peptide sequence information. In comparison with the existing pan-specific models of HLA-II-binding peptides, the GRU-based RNN model covered a broad spectrum of HLA-II molecules including 50 HLA-DR, 47 HLA-DQ, and 19 HLA-DP molecules with peptide lengths varying from 8 to 43 mers. The results demonstrated strong discriminant capabilities of the GRU-based RNN model, of which the AUC values were 0.92, 0.88, and 0.88 for the training, validation, and test sets, respectively. Also, the GRU-based model showed state-of-the-art performances in predicting the binding peptides with the length ranging from 8–32 mers, which provides an efficient method for predicting HLA-II-binding peptides of longer lengths in comparison with the available methods. Overall, taking the advantages of the RNN architecture, the established pan-specific GRU model can be used for predicting accurately the HLA-II-binding peptides in a simple and direct manner.

Distinct types of amyloid-β oligomers displaying diverse neurotoxicity mechanisms in Alzheimer's disease.

Soluble oligomers of amyloid-β (Aβ) are recognized as key pernicious species in Alzheimer's disease (AD) that cause synaptic dysfunction and memory impairments. Numerous studies have identified various types of Aβ oligomers having heterogeneous peptide length, size distribution, structure, appearance, and toxicity. Here, we review the characteristics of soluble Aβ oligomers based on their morphology, size, and structural reactivity toward the conformation-specific antibodies and then describe their formation, localization, and cellular effects in AD brains, in vivo and in vitro. We also summarize the mechanistic pathways by which these soluble Aβ oligomers cause proteasomal impairment, calcium dyshomeostasis, inhibition of long-term potentiation, apoptosis, mitochondrial damage, and cognitive decline. These cellular events include three distinct molecular mechanisms: (i) high-affinity binding with the receptors for Aβ oligomers such as N-methyl- d-aspartate receptors, cellular prion protein, nerve growth factor, insulin receptors, and frizzled receptors; (ii) the interaction of Aβ oligomers with the lipid membranes; (iii) intraneuronal accumulation of Aβ by α7-nicotinic acetylcholine receptors, apolipoprotein E, and receptor for advanced glycation end products. These studies indicate that there is a pressing need to carefully examine the role of size, appearance, and the conformation of oligomers in identifying the specific mechanism of neurotoxicity that may uncoverpotential targets for designing AD therapeutics.

A mass spectrometric approach to study the interaction of amyloid β peptides with human α-2-macroglobulin

We used MALDI-MS to study the interaction of amyloid β (Aβ) peptides with alpha-2-macroglobulin (α2M). The binding of amyloid beta (Aβ) peptides to alpha-2-macroglobulin (α2M) was found to inhibit the ability of trypsin to cleave out the peptide α2M 705–715 (Pep-α2M) from α2M. This was observed with both purified α2M and α2M in human serum. We found that Aβ 1–38, Aβ1-40, and Aβ 1–42, all inhibit the interaction of α2M with trypsin, with inhibition rate independent of the length of the Aβ peptide. Further, we show that for complete inhibition, two peptide molecules must be attached to one α2M molecule; one for each of its two subunits. A region was revealed within the Aβ sequence, in which proteolytic cleavage (Lys-28) and oxidation (Met-35) lead to a loss of their ability to inhibit the interaction of trypsin with α2M. Furthermore, we show that after the formation of a trypsin complex with α2M and cleavage of α2M to produce the α2M 705–715, Aβ peptides continue to bind to the protein in the same proportions. However, Aβ peptides treated with DMSO lost their ability to bind to α2M and thereby to inhibit the interaction of trypsin with α2M. While maintaining their primary structure, such an effect can be explained only by conformational changes in the peptides, suggesting the possibility to use our analytical approach to distinguish between conformational isomers of Aβ peptides.

Fully automated chemiluminescence enzyme immunoassays showing high correlation with immunoprecipitation mass spectrometry assays for β-amyloid (1–40) and (1–42) in plasma samples

Blood based β-amyloid (Aβ) assays that can predict amyloid positivity in the brain are in high demand. Current studies that utilize immunoprecipitation mass spectrometry assay (IP-MS), which has high specificity for measuring analytes, have revealed that precise plasma Aβ assays have the potential to detect amyloid positivity in the brain. In this study, we developed plasma Aβ40 and Aβ42 immunoassays using a fully automated immunoassay platform that is used in routine clinical practice. Our assays showed high sensitivity (limit of quantification: 2.46 pg/mL [Aβ40] and 0.16 pg/mL [Aβ42]) and high reproducibility within-run (coefficients of variation [CVs]: <3.7% [Aβ40] and <2.0% [Aβ42]) and within-laboratory (CVs: <4.6% [Aβ40] and <5.3% [Aβ42]). The interference from plasma components was less than 10%, and the cross-reactivity with various lengths of Aβ peptides was less than 0.5%. In addition, we found a significant correlation between the IP-MS method and our immunoassay (correlation coefficients of Pearson's r: 0.91 [Aβ40] and 0.82 [Aβ42]). Our new method to quantify plasma Aβ40 and Aβ42 provides clinicians and patients with a way to continuously monitor disease progression.

NetMHCphosPan - Pan-specific prediction of MHC class I antigen presentation of phosphorylated ligands

Post-translational modifications of proteins play a crucial part in carcinogenesis. Phosphorylated peptides have shown to be presented by MHC class I molecules and recognised by cytotoxic T cells, making them a promising target for immunotherapy. Identification of phosphorylated MHC class I ligands has so far predominantly been done using bioinformatic tools trained on unmodified peptides. Only one tool, PhosMHCpred, has been developed specifically for the prediction of phosphorylated MHC class I ligands so far and this tool has been trained only on a limited number of alleles and provides a limited peptide length coverage (only including 9-mers).Here we propose a method, termed NetMHCphosPan, for the prediction of MHC presented phosphopeptides. The method is trained using the NNAlign_MA framework, which allows incorporating mixed data types and information leverage between data sets resulting in a greatly improved MHC and peptide length coverage and an overall increased predictive power compared to PhosMHCpred. Motif deconvolution suggested a strong preference for phosphosites to be located in position 4 of the binding motif, and enrichment of proline at P5 and arginine at P1. The improved performance, driven by the extended length and allelic coverage, of NetMHCphosPan over current state-of-the-art methods, was further validated on a large benchmark data set independent from the model development.In conclusion, we have confirmed the high power of NNAlign_MA for motif deconvolution of complex immuno-peptidomics data and have developed a novel method for prediction of MHC presented phosphopeptides with improved predictive power and a broader peptide length and MHC coverage compared to current state-of-the-art methods. The developed method is available at http://www.cbs.dtu.dk/services/NetMHCphosPan-1.0.

Specificity of Anti-Citrullinated Protein Antibodies to Citrullinated α-Enolase Peptides as a Function of Epitope Structure and Composition.

Rheumatoid arthritis (RA) is an autoimmune disease affecting approximately 1–2% of the world population. In addition to the first discovered serologic markers for RA, the rheumatoid factors (RFs), anti-citrullinated protein antibodies (ACPAs) are even more specific for the disease compared to RFs and are found in 70–80% of RA patient sera. RA etiopathogenesis still needs to be elucidated, as different factors are proposed to be involved, such as Epstein–Barr virus infection. Hence, understanding the interaction between ACPAs and their citrullinated peptide targets is relevant for a better knowledge of RA pathophysiology and for diagnostic purposes. In this study, a cohort of RA sera, healthy control sera and multiple sclerosis sera were screened for reactivity to a variety of citrullinated peptides originating from α-enolase, pro-filaggrin, proteoglycan and Epstein–Barr nuclear antigen-2 by enzyme-linked immunosorbent assay. ACPA reactivity to citrullinated α-enolase peptides was found to depend on peptide length and peptide conformation, favouring cyclic (disulfide bond) conformations for long peptides and linear peptides for truncated ones. Additional investigations about the optimal peptide conformation for ACPA detection, employing pro-filaggrin and EBNA-2 peptides, confirmed these findings, indicating a positive effect of cyclization of longer peptides of approximately 20 amino acids. Moreover, screening of the citrullinated peptides confirmed that ACPAs can be divided into two groups based on their reactivity. Approximately 90% of RA sera recognize several peptide targets, being defined as cross-reactive or overlapping reactivities, and whose reactivity to the citrullinated peptide is considered primarily to be backbone-dependent. In contrast, approximately 10% recognize a single target and are defined as nonoverlapping, primarily depending on the specific amino acid side-chains in the epitope for a stable interaction. Collectively, this study contributed to characterize epitope composition and structure for optimal ACPA reactivity and to obtain further knowledge about the cross-reactive nature of ACPAs.

Flat, Ferrocenyl‐Conjugated Peptides: A Combined Electrochemical and Spectroscopic Study

AbstractWe synthesized two homo‐peptide series, based on the Cα,β‐didehydroalanine residue. One series was functionalized with a ferrocene (Fc) moiety at the N‐terminus, the other series with a Fc at the C‐terminus. These conjugates adopt the flat, fully extended conformation, also known as 2.05‐helix. Cyclic voltammetry measurements revealed that the peptide length does not affect the redox behavior of Fc, independently on the peptide end at which it is appended. This outcome perfectly fits with the presence of fully‐extended peptides, as in this 3D‐structure the dipole moment is negligible. Thus, we confirm the results of our previous study with two Fc pendants: fully‐extended, α‐peptide stretches prevent or reduce the charge transfer along the peptide chain.

AniAMPpred: artificial intelligence guided discovery of novel antimicrobial peptides in animal kingdom.

With advancements in genomics, there has been substantial reduction in the cost and time of genome sequencing and has resulted in lot of data in genome databases. Antimicrobial host defense proteins provide protection against invading microbes. But confirming the antimicrobial function of host proteins by wet-lab experiments is expensive and time consuming. Therefore, there is a need to develop an in silico tool to identify the antimicrobial function of proteins. In the current study, we developed a model AniAMPpred by considering all the available antimicrobial peptides (AMPs) of length $\in $[10 200] from the animal kingdom. The model utilizes a support vector machine algorithm with deep learning-based features and identifies probable antimicrobial proteins (PAPs) in the genome of animals. The results show that our proposed model outperforms other state-of-the-art classifiers, has very high confidence in its predictions, is not biased and can classify both AMPs and non-AMPs for a diverse peptide length with high accuracy. By utilizing AniAMPpred, we identified 436 PAPs in the genome of Helobdella robusta. To further confirm the functional activity of PAPs, we performed BLAST analysis against known AMPs. On detailed analysis of five selected PAPs, we could observe their similarity with antimicrobial proteins of several animal species. Thus, our proposed model can help the researchers identify PAPs in the genome of animals and provide insight into the functional identity of different proteins. An online prediction server is also developed based on the proposed approach, which is freely accessible at https://aniamppred.anvil.app/.

Peptide Based Inhibitors of Protein Binding to the Mitogen-Activated Protein Kinase Docking Groove.

Mitogen-activated protein kinases (MAPK) are important regulatory units in cells and they take part in the regulation of many cellular functions such as cell division, differentiation or apoptosis. All MAPKs have a shallow docking groove that interacts with linear binding motifs of their substrate proteins and their regulatory proteins such as kinases, phosphatases, scaffolds. Inhibition of these protein–protein interactions may reduce or abolish the activity of the targeted kinase. Based on the wide range of their biological activity, this kind of inhibition can be useful in the treatment of many disorders like tumors, inflammation or undesired cell apoptosis. In this study a linear binding motif from the RHDF1 protein—a 15 amino acids long peptide—was selected for optimization to increase its cellular uptake but retaining its low micromolar binding affinity. First, we synthesized an octaarginine conjugate that showed efficient cellular uptake. Next, we set out to reduce the size of this construct. We were able to decrease the length of the original peptide, and to increase its cellular uptake with specific chemical modifications. These new constructs bound better to ERK2 and p38 kinases than the original peptide and they showed markedly increased cellular uptake. The new octaarginine conjugate and one of the minimized bicyclic derivatives could inhibit the phosphorylation of intracellular ERK or p38. However, the modulation of MAPK phosphorylation levels by these cell-penetrating peptides were complex, despite that in biochemical assays they all inhibited MAPK-substrate binding as well as phosphorylation. The optimized peptides depending on the applied concentration caused an expected decrease, but also some unexpected increase in MAPK phosphorylation patterns in the cell. This possibly reflects the complexity of MAPK docking groove mediated protein–protein interactions including bone fide MAPK clients such activator kinases, deactivating phosphatases or regulatory scaffolds. Thus, our findings with optimized cell-penetrating “inhibitory” peptides highlight the opportunities but also the pitfalls of docking peptide based MAPK activity regulation and call for a better quantitative understanding of MAPK mediated protein–protein interactions in cells.

ERAP1 binds peptide C-termini of different sequences and/or lengths by a common recognition mechanism

Endoplasmic reticulum aminopeptidase 1 (ERAP1) plays a key role in controlling the immunopeptidomes available for presentation by MHC (major histocompatibility complex) molecules, thus influences immunodominance and cell-mediated immunity. It carries out this critical function by a unique molecular ruler mechanism that trims antigenic precursors in a peptide-length and sequence dependent manner. Acting as a molecular ruler, ERAP1 is capable of concurrently binding antigen peptide N- and C-termini by its N-terminal catalytic and C-terminal regulatory domains, respectively. As such ERAP1 can not only monitor substrate’s lengths, but also exhibit a degree of sequence specificity at substrates’ N- and C-termini. On the other hand, it also allows certain sequence and length flexibility in the middle part of peptide substrates that is critical for shaping MHC restricted immunopeptidomes. Here we report structural and biochemical studies to understand the molecular details on how ERAP1 can accommodate side chains of different anchoring residues at the substrate’s C-terminus. We also examine how ERAP1 can accommodate antigen peptide precursors with length flexibility. Based on two newly determined complex structures, we find that ERAP1 binds the C-termini of peptides similarly even with different substrate sequences and/or lengths, by utilizing the same hydrophobic specificity pocket to accommodate peptides with either a Phe or Leu as the C-terminal anchor residue. In addition, SPR (surface plasmon resonance) binding analyses in solution further confirm the biological significance of these peptide-ERAP1 interactions. Similar to the binding mode of MHC-I molecules, ERAP1 accommodates for antigenic peptide length difference by allowing the peptide middle part to kink or bulge at the middle of its substrate binding cleft. This explains how SNP coded variants located at the middle of ERAP1 substrate binding cleft would influence the antigen pool and an individual’s susceptibility to diseases.

Flow-based Methods in Chemical Peptide and Protein Synthesis.

Flow chemistry has emerged as a powerful method for on-demand chemical synthesis and modification of peptides and proteins. Herein, we discuss the characteristics of flow chemistry and how they are applied to various aspects of peptide chemistry. We highlight recent advances in automated flow-based peptide synthesis, which extend the length of peptides routinely accessible to single-domain proteins and allow for the collection of time-resolved synthesis data. Applications of this data for the prediction of synthesis outcome and the potential for the development of more sustainable synthesis methods are also discussed. Finally, we will review solutionphase approaches, including flow-based ligation strategies and peptide cyclization. Throughout this review, the current challenges and potential future developments are highlighted.

A Systematic Study of the Stability, Safety, and Efficacy of the de novo Designed Antimicrobial Peptide PepD2 and Its Modified Derivatives Against Acinetobacter baumannii.

Searching for new antimicrobials is a pressing issue to conquer the emergence of multidrug-resistant (MDR) bacteria and fungi. Antimicrobial peptides (AMPs) usually have antimicrobial mechanisms different from those of traditional antibiotics and bring new hope in the discovery of new antimicrobials. In addition to antimicrobial activity, stability and target selectivity are important concerns to decide whether an antimicrobial peptide can be applied in vivo. Here, we used a simple de novo designed peptide, pepD2, which contains only three kinds of amino acid residues (W, K, L), as an example to evaluate how the residues and modifications affect the antimicrobial activity against Acinetobacter baumannii, stability in plasma, and toxicity to human HEK293 cells. We found that pepI2 with a Leu→Ile substitution can decrease the minimum bactericidal concentrations (MBC) against A. baumannii by one half (4 μg/mL). A D-form peptide, pepdD2, in which the D-enantiomers replaced the L-enantiomers of the Lys(K) and Leu(L) residues, extended the peptide half-life in plasma by more than 12-fold. PepD3 is 3-residue shorter than pepD2. Decreasing peptide length did not affect antimicrobial activity but increased the IC50 to HEK293 cells, thus increased the selectivity index (SI) between A. baumannii and HEK293 cells from 4.7 to 8.5. The chain length increase of the N-terminal acyl group and the Lys→Arg substitution greatly enhanced the hemolytic activity, hence those modifications are not good for clinical application. Unlike colistin, the action mechanism of our peptides relies on negatively charged lipids rather than lipopolysaccharides. Therefore, not only gram-negative bacteria but also gram-positive bacteria can be killed by our peptides.

The investigation into the effect of the length of RGD peptides and temperature on the interaction with the αIIbβ3 integrin: a molecular dynamic study

The tripeptide Arg-Gly-Asp acid (RGD) is a protein sequence in the binding of proteins to cell surfaces, and is involved in various biological processes such as cell adhesion to the extracellular matrix, platelet activation, hemostasis, etc. The C2 domain of the Von Willebrand Factor (VWF), containing the RGD motif, plays an important role in the initial homeostasis process. It binds to the αIIbβ3 integrin and stimulates platelet aggregation. We have investigated, using the molecular Dynamic (MD) simulation method, the effect of the RGD-peptide length, and temperature variation, on the binding to the αIIbβ3 integrin receptor. We examined 10 different structural modes of the αIIbβ3 at three different temperatures; 237 K, 310 K and 318 K. Our findings show that the amino acids that form a binding pocket include Asp224, Tyr234, Ser226, Tyr190, Tyr189, Trp260, Trp262, Asp259, Lys253, Arg214, Asp217, Ser161 and Ala218 and that the ligand-receptor interaction was increased at higher temperatures. It was also found that the increase in the number of ligands’ amino acids and their types (% glycine) plays an important role in the stability, conformation, and ligand-receptor interaction. Communicated by Ramaswamy H. Sarma

Immunopeptidomics for next-generation bacterial vaccine development.

Antimicrobial resistance is an increasing global threat and alternative treatments substituting failing antibiotics are urgently needed. Vaccines are recognized as highly effective tools to mitigate antimicrobial resistance; however, the selection of bacterial antigens as vaccine candidates remains challenging. In recent years, advances in mass spectrometry-based proteomics have led to the development of so-called immunopeptidomics approaches that allow the untargeted discovery of bacterial epitopes that are presented on the surface of infected cells. Especially for intracellular bacterial pathogens, immunopeptidomics holds great promise to uncover antigens that can be encoded in viral vector- or nucleic acid-based vaccines. This review provides an overview of immunopeptidomics studies on intracellular bacterial pathogens and considers future directions and challenges in advancing towards next-generation vaccines.

Structural coordinates: A novel approach to predict protein backbone conformation.

Local protein structure is usually described via classifying each peptide to a unique class from a set of pre-defined structures. These classifications may differ in the number of structural classes, the length of peptides, or class attribution criteria. Most methods that predict the local structure of a protein from its sequence first rely on some classification and only then proceed to the 3D conformation assessment. However, most classification methods rely on homologous proteins' existence, unavoidably lose information by attributing a peptide to a single class or suffer from a suboptimal choice of the representative classes. To alleviate the above challenges, we propose a method that constructs a peptide's structural representation from the sequence, reflecting its similarity to several basic representative structures. For 5-mer peptides and 16 representative structures, we achieved the Q16 classification accuracy of 67.9%, which is higher than what is currently reported in the literature. Our prediction method does not utilize information about protein homologues but relies only on the amino acids' physicochemical properties and the resolved structures' statistics. We also show that the 3D coordinates of a peptide can be uniquely recovered from its structural coordinates, and show the required conditions under various geometric constraints.

Measurement of Interpeptidic CuII Exchange Rate Constants of CuII-Amyloid-β Complexes to Small Peptide Motifs by Tryptophan Fluorescence Quenching.

The interpeptidic CuII exchange rate constants were measured for two Cu amyloid-β complexes, Cu(Aβ1-16) and Cu(Aβ1-28), to fluorescent peptides GHW and DAHW using a quantitative tryptophan fluorescence quenching methodology. The second-order rate constants were determined at three pH values (6.8, 7.4, and 8.7) important to the two Cu(Aβ) coordination complexes, components Cu(Aβ)I and Cu(Aβ)II. The interpeptidic CuII exchange rate constant is approximately 104 M-1 s-1 but varies in magnitude depending on many variables. These include pH, length of the Aβ peptide, location of the anchoring histidine ligand in the fluorescent peptide, number of amide deprotonations required in the tryptophan peptide to coordinate CuII, and interconversion between Cu(Aβ)I and Cu(Aβ)II. We also present EPR data probing the CuII exchange between peptides and the formation of ternary species between Cu(Aβ) and GHW. As the nonfluorescent GHK and DAHK peptides are important motifs found in the blood and serum, their ability to sequester CuII ions from Cu(Aβ) complexes may be relevant for the metal homeostasis and its implication in Alzheimer's disease. Thus, their kinetic CuII interpeptidic exchange rate constants are important chemical rate constants that can help elucidate the complex CuII trafficking puzzle in the synaptic cleft.

Design of Tripeptides as a Competitive Inhibitor for HMG-CoA Reductase

This study presents a simple approach in design of tripeptides as a competitive inhibitor for 3-hydroxy-3-methylglutaryl CoA reductase (HMGR). HMGR is a major rate limiting enzyme in cholesterol biosynthesis and therefore constitutes the target enzyme of an extensive research to discover new compounds focused on its inhibition. In previous studies, the two hypocholesterolemic peptides (LPYP and IAVPGEVA) were isolated and identified from soy protein. Based on these peptide sequences, a number of peptides were designed previously by using the correlation between the conformational flexibility and bioactivity. The design method that was applied in previous studies was slightly modified for the purpose of the current research and 5 tripeptides were designed and synthesized. Among the designed tripeptides, YIE showed the highest ability to inhibit HMGR. A kinetic analysis revealed that this peptide is a competitive inhibitor of HMG-CoA with an equilibrium constant of inhibitor binding (Ki) of 0.23 ± 0.03 μM. This is an overall 700-fold increase in inhibitory activity compared to the first isolated LPYP peptide from soybeans. The obtained correlation between the observed and predicted inhibitory activities is good enough in spite of the fact that a different length of peptides was used in the presented design. Statistical analysis suggests that the proposed approach is acceptable in the design of tripeptides.

Antigenic Peptide Loading into Major Histocompatibility Complex Class I Is Driven by the Substrate N-Terminus

Major histocompatibility complex class I (MHC-I), a key element of the acquired immune system, plays essential roles in activating CD8+ T cells by recognizing intracellular antigens derived from pa...

Molecular Dynamics Simulations of a Catalytic Multivalent Peptide-Nanoparticle Complex.

Molecular modeling of a supramolecular catalytic system is conducted resulting from the assembling between a small peptide and the surface of cationic self-assembled monolayers on gold nanoparticles, through a multiscale iterative approach including atomistic force field development, flexible docking with Brownian Dynamics and µs-long Molecular Dynamics simulations. Self-assembly is a prerequisite for the catalysis, since the catalytic peptides do not display any activity in the absence of the gold nanocluster. Atomistic simulations reveal details of the association dynamics as regulated by defined conformational changes of the peptide due to peptide length and sequence. Our results show the importance of a rational design of the peptide to enhance the catalytic activity of peptide–nanoparticle conjugates and present a viable computational approach toward the design of enzyme mimics having a complex structure–function relationship, for technological and nanomedical applications.

Uptake, Stability, and Activity of Antisense Anti-acpP PNA-Peptide Conjugates in Escherichia coli and the Role of SbmA.

PNA oligomers conjugated to bacteria penetrating peptides (BPPs), such as (KFF)3K, targeting essential bacterial genes, such as acpP, can inhibit bacterial growth at one-digit micromolar concentrations. It has been found that the LPS of the outer membrane of Gram-negative bacteria is a barrier for cellular uptake of (KFF)3K-eg1-PNA and that the SbmA transporter protein is involved in the passage through the inner membrane. We now further elucidate the uptake mechanism of (KFF)3K-eg1-PNA by showing that the peptide part of (KFF)3K-eg1-PNA is unstable and is degraded by peptidases in the medium of a bacterial culture (t1/2 < 5 min) and inside the bacteria. Analysis of peptide-PNA conjugates present in the periplasmic space and the cytoplasm showed the presence of mainly PNA with only the FFK tripeptide and without a peptide, at a concentration 10-fold that added to the medium. Furthermore, the two main degradation products showed no antibacterial effect when added directly to a bacterial culture and the antibacterial effect decreased with peptide length, thereby demonstrating that an intact peptide is indeed crucial for uptake but not for intracellular antisense activity. Most surprisingly, it was found that although the corresponding series of the proteolytically stable D-form (kff)3k-eg1-PNAs exhibited an analogous reduction of activity with peptide length, the activity was dependent on the presence of SbmA for the shorter peptides (which is not the case with the full length peptide). Therefore, our results suggest that the BPP is necessary for crossing both the LPS/outer membrane as well as the inner membrane and that full length (KFF)3K may spontaneously pass the inner membrane. Thus, SbmA dependence of (KFF)3K-eg1-PNA is ascribed to peptide degradation in the bacterial medium and in periplasmic space. Finally, the results show that stability and metabolism (by bacterial proteases/peptidases) should be taken into consideration upon design and activity/uptake analysis of BPPs (and antimicrobial peptides).