Three parallel algorithms for classical molecular dynamics are presented. The first assigns each processor a fixed subset of atoms; the second assigns each a fixed subset of inter-atomic forces to compute; the third assigns each a fixed spatial region. The algorithms are suitable for molecular dynamics models which can be difficult to parallelize efficiently—those with short-range forces where the neighbors of each atom change rapidly. They can be implemented on any distributed-memory parallel machine which allows for message-passing of data between independently executing processors. The algorithms are tested on a standard Lennard-Jones benchmark problem for system sizes ranging from 500 to 100,000,000 atoms on several parallel supercomputers--the nCUBE 2, Intel iPSC/860 and Paragon, and Cray T3D. Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems. For large problems, the spatial algorithm achieves parallel efficiencies of 90% and a 1840-node Intel Paragon performs up to 165 faster than a single Cray C9O processor. Trade-offs between the three algorithms and guidelines for adapting them to more complex molecular dynamics simulations are also discussed.

Fast parallel algorithms for short-range molecular dynamics

In the coming decade, the ability to sense and detect the state of biological systems and living organisms optically, electrically and magnetically will be radically transformed by developments in materials physics and chemistry. The emerging ability to control the patterns of matter on the nanometer length scale can be expected to lead to entirely new types of biological sensors. These new systems will be capable of sensing at the single-molecule level in living cells, and capable of parallel integration for detection of multiple signals, enabling a diversity of simultaneous experiments, as well as better crosschecks and controls.

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The use of nanocrystals in biological detection

A nanopore-based device provides single-molecule detection and analytical capabilities that are achieved by electrophoretically driving molecules in solution through a nano-scale pore. The nanopore provides a highly confined space within which single nucleic acid polymers can be analyzed at high throughput by one of a variety of means, and the perfect processivity that can be enforced in a narrow pore ensures that the native order of the nucleobases in a polynucleotide is reflected in the sequence of signals that is detected. Kilobase length polymers (single-stranded genomic DNA or RNA) or small molecules (e.g., nucleosides) can be identified and characterized without amplification or labeling, a unique analytical capability that makes inexpensive, rapid DNA sequencing a possibility. Further research and development to overcome current challenges to nanopore identification of each successive nucleotide in a DNA strand offers the prospect of 'third generation' instruments that will sequence a diploid mammalian genome for ∼$1,000 in ∼24 h.

/pdf/the-potential-and-challenges-of-nanopore-sequencing-51qxscif85.pdf

The Potential and Challenges of Nanopore Sequencing

Nanostructured carbon materials are potentially of great technological interest for the development of electronic1,2, catalytic3,4 and hydrogen-storage systems5,6. Here we describe a general strategy for the synthesis of highly ordered, rigid arrays of nanoporous carbon having uniform but tunable diameters (typically 6 nanometres inside and 9 nanometres outside). These structures are formed by using ordered mesoporous silicas as templates, the removal of which leaves a partially ordered graphitic framework. The resulting material supports a high dispersion of platinum nanoparticles, exceeding that of other common microporous carbon materials (such as carbon black, charcoal and activated carbon fibres). The platinum cluster diameter can be controlled to below 3 nanometres, and the high dispersion of these metal clusters gives rise to promising electrocatalytic activity for oxygen reduction, which could prove to be practically relevant for fuel-cell technologies. These nanomaterials can also be prepared in the form of free-standing films by using ordered silica films as the templates.

Ordered nanoporous arrays of carbon supporting high dispersions of platinum nanoparticles

Based on fundamental chemistry, biotechnology and materials science have developed over the past three decades into today's powerful disciplines which allow the engineering of advanced technical devices and the industrial production of active substances for pharmaceutical and biomedical applications. This review is focused on current approaches emerging at the intersection of materials research, nanosciences, and molecular biotechnology. This novel and highly interdisciplinary field of chemistry is closely associated with both the physical and chemical properties of organic and inorganic nanoparticles, as well as to the various aspects of molecular cloning, recombinant DNA and protein technology, and immunology. Evolutionary optimized biomolecules such as nucleic acids, proteins, and supramolecular complexes of these components, are utilized in the production of nanostructured and mesoscopic architectures from organic and inorganic materials. The highly developed instruments and techniques of today's materials research are used for basic and applied studies of fundamental biological processes.

/pdf/nanoparticles-proteins-and-nucleic-acids-biotechnology-meets-4nzdmnwi4l.pdf

Nanoparticles, Proteins, and Nucleic Acids: Biotechnology Meets Materials Science

The detection of organic molecules is important in many areas, including medicine, environmental monitoring and defence1,5. Stochastic sensing is an approach that relies on the observation of individual binding events between analyte molecules and a single receptor6. Engineered transmembrane protein pores are promising sensor elements for stochastic detection6, and in their simplest manifestation they produce a fluctuating binary (‘on/off’) response in the transmembrane electrical current. The frequency of occurrence of the fluctuations reveals the concentration of the analyte, and its identity can be deduced from the characteristic magnitude and/or duration of the fluctuations. Genetically engineered versions of the bacterial pore-forming protein α-haemolysin have been used to identify and quantify divalent metal ions in solution6. But it is not immediately obvious how versatile binding sites for organic ligands might be obtained by engineering of the pore structure. Here we show that stochastic sensing of organic molecules can be procured from α-haemolysin by equipping the channel with an internal, non-covalently bound molecular ‘adapter’ which mediates channel blocking by the analyte. We use cyclodextrins as the adapters because these fit comfortably inside the pore and present a hydrophobic cavity suitable for binding a variety of organic analytes. Moreover, a single sensing element of this sort can be used to analyse a mixture of organic molecules with different binding characteristics. We envisage the use of other adapters, so that the pore could be ‘programmed’ for a range of sensing functions.

Stochastic sensing of organic analytes by a pore-forming protein containing a molecular adapter.

MicroRNAs are short RNA molecules that regulate gene expression, and have been investigated as potential biomarkers because their expression levels are correlated with various diseases. However, detecting microRNAs in the bloodstream remains difficult because current methods are not sufficiently selective or sensitive. Here, we show that a nanopore sensor based on the α-haemolysin protein can selectively detect microRNAs at the single molecular level in plasma samples from lung cancer patients without the need for labels or amplification of the microRNA. The sensor, which uses a programmable oligonucleotide probe to generate a target-specific signature signal, can quantify subpicomolar levels of cancer-associated microRNAs and can distinguish single-nucleotide differences between microRNA family members. This approach is potentially useful for quantitative microRNA detection, the discovery of disease markers and non-invasive early diagnosis of cancer. A biological nanopore is used to detect circulating microRNA in the plasma of lung cancer patients, offering a non-invasive method to screen and diagnose diseases.

https://www.omicsonline.org/2155-6210/2155-6210.S1.022-029.pdf

Nanopore-based detection of circulating microRNAs in lung cancer patients

Stochastic sensing is an emerging analytical technique that relies upon single-molecule detection. Transmembrane pores, into which binding sites for analytes have been placed by genetic engineering, have been developed as stochastic sensing elements. Reversible occupation of an engineered binding site modulates the ionic current passing through a pore in a transmembrane potential and thereby provides both the concentration of an analyte and, through a characteristic signature, its identity. Here, we show that the concentrations of two or more divalent metal ions in solution can be determined simultaneously with a single sensor element. Further, the sensor element can be permanently calibrated without a detailed understanding of the kinetics of interaction of the metal ions with the engineered pore.

Simultaneous stochastic sensing of divalent metal ions

A diagnosis of lung cancer at its early stages is vital for improving the survival rate of patients. MicroRNAs (miRNAs), a family of 19- to 25-nucleotide non-coding small RNAs, are frequently dysregulated in lung cancer. The objective of this study was to investigate the potential of circulating miRNAs for early detection of lung cancer. We searched the published literature for the miRNA microarray data of primary lung cancer and selected 15 miRNAs that were most frequently up-regulated in lung cancer tissues. Total plasma RNA including miRNAs was isolated, polyade-nylated and reverse-transcribed into cDNAs. The levels of miRNAs were determined by real-time RT-PCR in 74 lung cancer patients and 68 age-matched cancer-free controls. We found that the levels of miR-155, miR-197, and miR-182 in the plasma of lung cancer including stage I patients were significantly elevated compared with controls (P<0.001). The combination of these 3 miRNAs yielded 81.33% sensitivity and 86.76% specificity in discriminating lung cancer patients from controls. The levels of miR-155 and miR-197 were higher in the plasma from lung cancer patients with metastasis than in those without metastasis (P<0.05) and were significantly decreased in responsive patients during chemotherapy (P<0.001). These results indicate that miR-155, miR-197, and miR-182 can be potential non-invasive biomarkers for early detection of lung cancer.

Plasma microRNAs as novel biomarkers for early detection of lung cancer.

Molecular-scale pore structures, called nanopores, can be assembled by protein ion channels through genetic engineering or be artificially fabricated on solid substrates using fashion nanotechnology. When target molecules interact with the functionalized lumen of a nanopore, they characteristically block the ion pathway. The resulting conductance changes allow for identification of single molecules and quantification of target species in the mixture. In this review, we first overview nanopore-based sensory techniques that have been created for the detection of myriad biomedical targets, from metal ions, drug compounds, and cellular second messengers to proteins and DNA. Then we introduce our recent discoveries in nanopore single molecule detection: (1) using the protein nanopore to study folding/unfolding of the G-quadruplex aptamer; (2) creating a portable and durable biochip that is integrated with a single-protein pore sensor (this chip is compared with recently developed protein pore sensors based on stabilized bilayers on glass nanopore membranes and droplet interface bilayer); and (3) creating a glass nanopore-terminated probe for single-molecule DNA detection, chiral enantiomer discrimination, and identification of the bioterrorist agent ricin with an aptamer-encoded nanopore.

/pdf/single-molecule-sensing-by-nanopores-and-nanopore-devices-2mwlvien1k.pdf

Li-Qun Gu

Papers

Stochastic sensing of organic analytes by a pore-forming protein containing a molecular adapter.

Nanopore-based detection of circulating microRNAs in lung cancer patients

Simultaneous stochastic sensing of divalent metal ions

Plasma microRNAs as novel biomarkers for early detection of lung cancer.

Single molecule sensing by nanopores and nanopore devices