664 research outputs found
A Langmuir approach on monolayer interactions to investigate surface active peptides
The Langmuir Blodgett apparatus provides a versatile system for studying the interfacial properties of peptides and peptide-membrane interactions under controlled conditions. Using amphiphilic α-helical peptides to highlight studies undertaken, here we discuss the use of this system to provide information on the surface activity of peptides and describe the insights these studies give into biological functio
A theoretical analysis of secondary structural characteristics of anticancer peptides
Here, cluster analysis showed that a database of 158 peptides formed 21 clusters based on net positive charge, hydrophobicity and amphiphilicity. In general these clusters showed similar median toxicities (p = 0.176) against eukaryotic cell lines and no single combination of these properties was found optimal for efficacy. The database contained 14 peptides, which showed selectivity for tumour cell lines only (ACPCT), 123 peptides with general toxicity to eukaryotic cells (ACPGT) and 21 inactive peptides (ACPI). Hydrophobic arc size analysis showed that there was no significant difference across the datasets. Even though there was no correlation there was no correlation observed, peptides with wide hydrophobic arcs (> 270°) appeared less toxic. Extended hydrophobic moment plot analysis predicted that over 50% of ACPCT and ACPGT peptides would be surface active, which led to the suggestion that amphiphilicity is a key driver of the membrane interactions for these peptides but probably plays a role in their efficacy rather than their selectivity. This analysis also predicted that only 14% of ACPCT peptides compared to 45% of ACPGT peptides were candidates for tilted peptide formation. This implies that those peptides with non-specific activity may have a tendency towards the utilisation of membrane disruptive structures such as tilt peptides which led to the suggestion that the absence of this structure may support cancer cell selectivity. However, these analyses predicted that ACPI peptides, which possess no anticancer activity, would also form surface active and tilted a-helices, clearly showing that other factors are involved in determining the efficacy and selectivity of ACPs
α-Helical conformation in the C-terminal anchoring domains of E. coli penicillin-binding proteins 4, 5 and 6
AbstractThe E. coli low molecular mass penicillin-binding proteins (PBP's) are penicillin sensitive, enzymes involved in the terminal stages of peptidoglycan biosynthesesis. These PBP's are believed to anchor to the periplasmic face of the inner membrane via C-terminal amphiphilic α-helices but to date the only support for this hypothesis has been obtained from theoretical analysis. In this paper, the conformational behaviour of synthetic peptides corresponding to these C-terminal anchoring domains was studied as a function of solvent, pH, sodium dodecyl sulphate micelles and phospholipid (DOPC, DOPG) vesicles using circular dichroism (CD) spectroscopy. The CD data showed that in 2,2,2-trifluoroethanol or sodium dodecylsulphate, all three peptides have the capacity to form an α-helical conformation but in aqueous solution or in the presence of phospholipid vesicles only those peptides corresponding to the PBP5 and PBP6 C-termini were observed to do so. A pH dependent loss of α-helical conformation in the peptide corresponding to the PBP5 C-terminus was found to correlate with the susceptibility of PBP5 to membrane extraction. This correlation would agree with the hypothesis that an α-helical conformation is required for membrane interaction of the PBP5 C-terminal region
A Schedule of Duties in the Cloud Space Using a Modified Salp Swarm Algorithm
Cloud computing is a concept introduced in the information technology era,
with the main components being the grid, distributed, and valuable computing.
The cloud is being developed continuously and, naturally, comes up with many
challenges, one of which is scheduling. A schedule or timeline is a mechanism
used to optimize the time for performing a duty or set of duties. A scheduling
process is accountable for choosing the best resources for performing a duty.
The main goal of a scheduling algorithm is to improve the efficiency and
quality of the service while at the same time ensuring the acceptability and
effectiveness of the targets. The task scheduling problem is one of the most
important NP-hard issues in the cloud domain and, so far, many techniques have
been proposed as solutions, including using genetic algorithms (GAs), particle
swarm optimization, (PSO), and ant colony optimization (ACO). To address this
problem, in this paper, one of the collective intelligence algorithms, called
the Salp Swarm Algorithm (SSA), has been expanded, improved, and applied. The
performance of the proposed algorithm has been compared with that of GAs, PSO,
continuous ACO, and the basic SSA. The results show that our algorithm has
generally higher performance than the other algorithms. For example, compared
to the basic SSA, the proposed method has an average reduction of approximately
21% in makespan.Comment: 15 pages, 6 figures, 2023 IFIP International Internet of Things
Conference. Dallas-Fort Worth Metroplex, Texas, US
WIP: Development of a Student-Centered Personalized Learning Framework to Advance Undergraduate Robotics Education
This paper presents a work-in-progress on a learn-ing system that will
provide robotics students with a personalized learning environment. This
addresses both the scarcity of skilled robotics instructors, particularly in
community colleges and the expensive demand for training equipment. The study
of robotics at the college level represents a wide range of interests,
experiences, and aims. This project works to provide students the flexibility
to adapt their learning to their own goals and prior experience. We are
developing a system to enable robotics instruction through a web-based
interface that is compatible with less expensive hardware. Therefore, the free
distribution of teaching materials will empower educators. This project has the
potential to increase the number of robotics courses offered at both two- and
four-year schools and universities. The course materials are being designed
with small units and a hierarchical dependency tree in mind; students will be
able to customize their course of study based on the robotics skills they have
already mastered. We present an evaluation of a five module mini-course in
robotics. Students indicated that they had a positive experience with the
online content. They also scored the experience highly on relatedness, mastery,
and autonomy perspectives, demonstrating strong motivation potential for this
approach.Comment: 5 pages, 2 figures, conferenc
The role of C-terminal amidation in the membrane interactions of the anionic antimicrobial peptide, maximin H5
Maximin H5 is an anionic antimicrobial peptide from amphibians, which carries a C-terminal amide moiety, and was found to be moderately haemolytic (20%). The α-helicity of the peptide was 42% in the presence of lipid mimics of erythrocyte membranes and was found able to penetrate (10.8mNm(-1)) and lyse these model membranes (64 %). In contrast, the deaminated peptide exhibited lower levels of haemolysis (12%) and α-helicity (16%) along with a reduced ability to penetrate (7.8mNm(-1)) and lyse (55%) lipid mimics of erythrocyte membranes. Taken with molecular dynamic simulations and theoretical analysis, these data suggest that native maximin H5 primarily exerts its haemolytic action via the formation of an oblique orientated α-helical structure and tilted membrane insertion. However, the C-terminal deamination of maximin H5 induces a loss of tilted α-helical structure, which abolishes the ability of the peptide's N-terminal and C-terminal regions to H-bond and leads to a loss in haemolytic ability. Taken in combination, these observations strongly suggest that the C-terminal amide moiety carried by maximin H5 is required to stabilise the adoption of membrane interactive tilted structure by the peptide. Consistent with previous reports, these data show that the efficacy of interaction and specificity of maximin H5 for membranes can be attenuated by sequence modification and may assist in the development of variants of the peptide with the potential to serve as anti-infective
Bacterial susceptibility and resistance to modelin-5
Modelin-5 (M5-NH2) killed Pseudomonas aeruginosa with a minimum lethal concentration (MLC) of 5.86 μM and strongly bound its cytoplasmic membrane (CM) with a Kd of 23.5 μM. The peptide adopted high levels of amphiphilic α-helical structure (75.0%) and penetrated the CM hydrophobic core (8.0 mN m−1). This insertion destabilised CM structure via increased lipid packing and decreased fluidity (ΔGmix 0) and promoted only low levels of lysis (24.3%). The insertion and lysis of the S. aureus CM by M5-NH2 showed a strong negative correlation with its lysyl phosphatidylglycerol (Lys-PG) content (R2 > 0.98). In combination, these data suggested that Lys-PG mediated mechanisms inhibited the membranolytic action of M5-NH2 against S. aureus, thereby rendering the organism resistant to the peptide. These results are discussed in relation to structure/function relationships of M5-NH2 and CM lipids that underpin bacterial susceptibility and resistance to the peptide
Increasing Colonoscopy Compliance Using a Blood-Based Risk Assessment Test for Colorectal Cancer
ColonSentry® is a minimally invasive, blood-based risk assessment test for colorectal cancer. The test is used to increase patient compliance with colonoscopy. Many physicians have inquired about the incidence of non-malignant lesions found in patients after colonoscopy prompted by an increased risk score on the ColonSentry test. Here we report on the colonoscopy results of five patients with increased ColonSentry risk scores. Of those five patients, three were determined to have polyps, one of which was pre-malignant
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