Biomedical subjects

Raj Chakrabarti

Publications and source records attributed to Raj Chakrabarti.

5 recordsLinked to original sources

PubMed2006

Label-free microelectronic PCR quantification.

We present a robust and simple method for direct, label-free PCR product quantification using an integrated microelectronic sensor. The field-effect sensor can sequentially detect the intrinsic charge of multiple unprocessed PCR products and does not require sample processing or additional reagents in the PCR mixture. The sensor measures nucleic acid concentration in the PCR relevant range and specifically detects the PCR products over reagents such as Taq polymerase and nucleotide monomers. The sensor can monitor the product concentration at various stages of PCR and can generate a readout that resembles that of a real-time fluorescent measurement using an intercalating dye but without its potential inhibition artifacts. The device is mass-produced using standard semiconductor processes, can be reused for months, and integrates all sensing components directly on-chip. As such, our approach establishes a foundation for the direct integration of PCR-based in vitro biotechnologies with microelectronics.

Electronics↗

PubMed2005

Sequence optimization and designability of enzyme active sites.

We recently found that many residues in enzyme active sites can be computationally predicted by the optimization of scoring functions based on substrate binding affinity, subject to constraints on the geometry of catalytic residues and protein stability. Here, we explore the generality of this surprising observation. First, the impact of hydrogen-bonding networks necessary for catalysis on the accuracy of sequence optimization is assessed; incorporation of these networks, where relevant, into the set of catalytic constraints is found to be essential. Next, the impact of multiple substrate selectivity on sequence optimization is probed by carrying out independent calculations for complexes of deoxyribonucleoside kinases with various cognate ligands, revealing how simultaneous selection pressures determined active-site sequences of these enzymes. Including previous calculations on simpler enzymes, computational sequence optimization correctly predicts 76% of all active-site residues tested (86% correct, with 93% similar, for naturally conserved residues). In these studies, the ligand is fixed in its native conformation. To assess the applicability of these methods to de novo active-site design, the effect of small ligand motions around the native pose is also examined. Robustness of sequence accuracy for topologically similar poses is demonstrated for selected kinases, but not for a model peptidase. Based on these observations, we introduce the notion of the designability of an enzyme active site, a metric that may be used to guide the search for protein scaffolds suitable for the introduction of de novo activity for a desired chemical reaction.

Algorithms↗

PubMed2005

Computational prediction of native protein ligand-binding and enzyme active site sequences.

Recent studies reveal that the core sequences of many proteins were nearly optimized for stability by natural evolution. Surface residues, by contrast, are not so optimized, presumably because protein function is mediated through surface interactions with other molecules. Here, we sought to determine the extent to which the sequences of protein ligand-binding and enzyme active sites could be predicted by optimization of scoring functions based on protein ligand-binding affinity rather than structural stability. Optimization of binding affinity under constraints on the folding free energy correctly predicted 83% of amino acid residues (94% similar) in the binding sites of two model receptor-ligand complexes, streptavidin-biotin and glucose-binding protein. To explore the applicability of this methodology to enzymes, we applied an identical algorithm to the active sites of diverse enzymes from the peptidase, beta-gal, and nucleotide synthase families. Although simple optimization of binding affinity reproduced the sequences of some enzyme active sites with high precision, imposition of additional, geometric constraints on side-chain conformations based on the catalytic mechanism was required in other cases. With these modifications, our sequence optimization algorithm correctly predicted 78% of residues from all of the enzymes, with 83% similar to native (90% correct, with 95% similar, excluding residues with high variability in multiple sequence alignments). Furthermore, the conformations of the selected side chains were often correctly predicted within crystallographic error. These findings suggest that simple selection pressures may have played a predominant role in determining the sequences of ligand-binding and active sites in proteins.

Algorithms↗

PubMed2003

Nanocrystals modified with peptide nucleic acids (PNAs) for selective self-assembly and DNA detection.

Gold nanocrystals modified with peptide nucleic acids (PNAs) have been prepared and applied to self-assembly and DNA sensing. Experiments with different PNA structural motifs show that (1). the versatility in PNA synthetic design can be used to modulate the electrostatic surface properties of nanocrystals, presenting an opportunity to control assembly rate and aggregate size, (2). short (6 base) PNAs can hybridize effectively while attached to nanoparticles, providing a route to generating materials with small interparticle spacings, and (3). the superior base pair mismatch selectivity of PNAs is further enhanced on nanosurfaces, enabling PNA-modified nanoparticles to act as highly selective nanoscale sensors, as well as synthons for defect-free self-assembly. This last feature was coupled with a substantial change in colloidal stability upon DNA hybridization to develop a novel colorimetric DNA assay that detects the presence of single base imperfections within minutes. Various modes of PNA hybridization, including the first practical application of PNA-PNA interactions, were used to direct the assembly of nanoparticles into macroscopic arrangements. Shorter duplex interconnects and greater specificity in assembly were obtained compared to similar experiments with DNA-modified nanocrystals.

Base Pair Mismatch↗

PubMed2002

Novel sulfoxides facilitate GC-rich template amplification.

Certain organic solvents, such as DMSO and betaine, have been reported to enhance PCR amplification, particularly for hard-to-amplify high-GC templates. As a result of extensive structure-activity studies between two groups of compounds--amides and sulfones--we have recently discovered several other potent PCR enhancers. Here we describe the effects of a series of different sulfoxides on GC-rich template amplification and report several of these to be exceptionally effective, often outperforming DMSO. We introduce them as novel PCR enhancers. We identify tetramethylene sulfoxide as the most potent sulfur-oxygen compound in the enhancement of PCR amplification and as one of the most potent PCR enhancers currently known.

Dimethyl Sulfoxide↗