MOLKERN: A library of software components for molecular modeling programs

The library of software components MOLKERN is designed to construct efficient programs (with linear computational complexity) for modeling, optimization, and analysis of spatial structures of proteins, cofactors, ligands, and their complexes and computation of their physical properties. The interactions between atoms and molecules are taken into account within the force field method. The library is realized in C++ using static polymorphism technology. The library utilizes STL and BOOST libraries and contains a number of software components for parallel computation using the MPI technology. The library can be used under Windows and Linux.

     

MOLKERN: A library of software components for molecular modeling programs

The library of software components MOLKERN is designed to construct efficient programs (with linear computational complexity) for modeling, optimization, and analysis of spatial structures of proteins, cofactors, ligands, and their complexes and computation of their physical properties. The interactions between atoms and molecules are taken into account within the force field method. The library is realized in C++ using static polymorphism technology. The library utilizes STL and BOOST libraries and contains a number of software components for parallel computation using the MPI technology. The library can be used under Windows and Linux.     

JSBML: a flexible Java library for working with SBML

SUMMARY: The specifications of the Systems Biology Markup Language (SBML) define standards for storing and exchanging computer models of biological processes in text files. In order to perform model simulations, graphical visualizations and other software manipulations, an in-memory representation of SBML is required. We developed JSBML for this purpose. In contrast to prior implementations of SBML APIs, JSBML has been designed from the ground up for the Java programming language, and can therefore be used on all platforms supported by a Java Runtime Environment. This offers important benefits for Java users, including the ability to distribute software as Java Web Start applications. JSBML supports all SBML Levels and Versions through Level 3 Version 1, and we have strived to maintain the highest possible degree of compatibility with the popular library libSBML. JSBML also supports modules that can facilitate the development of plugins for end user applications, as well as ease migration from a libSBML-based backend. AVAILABILITY: Source code, binaries and documentation for JSBML can be freely obtained under the terms of the LGPL 2.1 from the website http://sbml.org/Software/JSBML.     

FastMPJ: a scalable and efficient Java message-passing library

The performance and scalability of communications are key for high performance computing (HPC) applications in the current multi-core era. Despite the significant benefits (e.g., productivity, portability, multithreading) of Java for parallel programming, its poor communications support has hindered its adoption in the HPC community. This paper presents FastMPJ, an efficient message-passing in Java (MPJ) library, boosting Java for HPC by: (1) providing high-performance shared memory communications using Java threads; (2) taking full advantage of high-speed cluster networks (e.g., InfiniBand) to provide low-latency and high bandwidth communications; (3) including a scalable collective library with topology aware primitives, automatically selected at runtime; (4) avoiding Java data buffering overheads through zero-copy protocols; and (5) implementing the most widely extended MPI-like Java bindings for a highly productive development. The comprehensive performance evaluation on representative testbeds (InfiniBand, 10 Gigabit Ethernet, Myrinet, and shared memory systems) has shown that FastMPJ communication primitives rival native MPI implementations, significantly improving the efficiency and scalability of Java HPC parallel applications.     

StrBioLib: a Java library for development of custom computational structural biology applications

SUMMARY: StrBioLib is a library of Java classes useful for developing software for computational structural biology research. StrBioLib contains classes to represent and manipulate protein structures, biopolymer sequences, sets of biopolymer sequences, and alignments between biopolymers based on either sequence or structure. Interfaces are provided to interact with commonly used bioinformatics applications, including (psi)-blast, modeller, muscle and Primer3, and tools are provided to read and write many file formats used to represent bioinformatic data. The library includes a general-purpose neural network object with multiple training algorithms, the Hooke and Jeeves non-linear optimization algorithm, and tools for efficient C-style string parsing and formatting. StrBioLib is the basis for the Pred2ary secondary structure prediction program, is used to build the astral compendium for sequence and structure analysis, and has been extensively tested through use in many smaller projects. Examples and documentation are available at the site below. AVAILABILITY: StrBioLib may be obtained under the terms of the GNU LGPL license from http://strbio.sourceforge.net/     

Moara: a Java library for extracting and normalizing gene and protein mentions

Background  

Gene/protein recognition and normalization are important preliminary steps for many biological text mining tasks, such as information retrieval, protein-protein interactions, and extraction of semantic information, among others. Despite dedication to these problems and effective solutions being reported, easily integrated tools to perform these tasks are not readily available.     

Combinatorially-generated library of 6-fluoroquinolone analogs as potential novel antitubercular agents: a chemometric and molecular modeling assessment

The virtual combinatorial chemistry approach as a methodology for generating chemical libraries of structurally-similar analogs in a virtual environment was employed for building a general mixed virtual combinatorial library with a total of 53.871 6-FQ structural analogs, introducing the real synthetic pathways of three well known 6-FQ inhibitors. The druggability properties of the generated combinatorial 6-FQs were assessed using an in-house developed drug-likeness filter integrating the Lipinski/Veber rule-sets. The compounds recognized as drug-like were used as an external set for prediction of the biological activity values using a neural-networks (NN) model based on an experimentally-determined set of active 6-FQs. Furthermore, a subset of compounds was extracted from the pool of drug-like 6-FQs, with predicted biological activity, and subsequently used in virtual screening (VS) campaign combining pharmacophore modeling and molecular docking studies. This complex scheme, a powerful combination of chemometric and molecular modeling approaches provided novel QSAR guidelines that could aid in the further lead development of 6-FQs agents.     

Genetic selection for and molecular dynamic modeling of a protein transmembrane domain multimerization motif from a random Escherichia coli genomic library

In order to identify new transmembrane helix packing motifs in naturally occurring proteins, we have selected transmembrane domains from a library of random Escherichia coli genomic DNA fragments and screened them for homomultimerization via their abilities to dimerize the bacteriophage lambda cI repressor DNA-binding domain. Sequences were isolated using a modified lambda cI headpiece dimerization assay system, which was shown previously to measure transmembrane helix-helix association in the E. coli inner membrane. Screening resulted in the identification of several novel sequences that appear to mediate helix-helix interactions. One sequence, representing the predicted sixth transmembrane domain (TM6) of the E. coli protein YjiO, was chosen for further analysis. Using site-directed mutagenesis and molecular dynamics, a small set of models for YjiO TM6 multimerization interface interactions were generated. This work demonstrates the utility of combining in vivo genetic tools with computational systems for understanding membrane protein structure and assembly.     

Development of a new radioligand for cholecystokinin receptor subtype 2 scintigraphy: From molecular modeling to in vivo evaluation

To improve the targeting to tumors expressing the cholecystokinin receptor subtype 2 (CCK2R) with limited kidney uptake, we synthesized a novel cholecystokinin C-terminal tetrapeptide (CCK4)-based derivative conjugated to an original bipyridine-chelator (BPCA), ¹¹¹In-BPCA-(Ahx)₂-CCK4. To our knowledge this is the first CCK4-based radioligand that presents a high affinity for the CCK2R, a high and specific tumor uptake, a low renal accumulation and a very good visualization of tumors in vivo compared with an internal control, ¹¹¹Indium-trans-cyclohexyldiethylenetriaminepenta-acetic acid-cholecystokinin octapeptide (¹¹¹In-CHX-A″-DTPA-CCK8). These properties make ¹¹¹In-BPCA-(Ahx)₂-CCK4, a promising candidate for imaging and peptide receptor radionuclide therapy of CCK2R positive tumors.     

Structural analysis and molecular modeling of two antitrichosanthin IgE clones from phage antibody library

Recently we constructed a murine IgE phage surface display library and screened out two IgE (Fab) clones with specific binding activity to Trichosanthin (TCS).In this work,the Vε and Vκ genes of the two clones were sequenced and their putative germline gene usages were studied.On the basis of the known 3D structure of Trichosanthin and antibody,molecular modeling was carried out to study the antigen-antibody interaction.The possible antigenic determinant sites on the surface of TCS recognized by both the clones were analyzed,and the reaction forces between TCS and two Fab fragments were also analyzed respectively.     

Characterization of a new BAC library for rainbow trout: evidence for multi-locus duplication

A 10X rainbow trout bacterial artificial chromosome (BAC) library was constructed to aid in the physical and genetic mapping efforts of the rainbow trout genome. The library was derived from the Swanson clonal line (YY male) and consists of 184,704 clones with an average insert size of 137,500 bp (PFGE) or 118,700 bp (DNA fingerprinting). The clones were gridded onto 10 large nylon membranes to produce high-density arrays for screening the library by hybridization. The library was probed with 11 cDNAs from the NCCCWA EST project chosen because of interest in their homology to known gene sequences, seven known genes, and a Y-specific sex marker. Putative positive clones identified by hybridization were re-arrayed and gridded for secondary confirmation. FPC analysis of HindIII and EcoRV DNA fingerprinting was used to estimate the level of redundancy in the library, to construct BAC contigs and to detect duplicated loci in the semi-duplicated rainbow trout genome. A good correlation (R2 = 0.7) was found between the number of hits per probe and the number of contigs that were assembled from the positive BACs. The average number of BACs per contig was 9.6, which is in good agreement with 10X genome coverage of the library. Two-thirds of the loci screened were predicted to be duplicated as the positive BACs for those genes were assembled into two or three different contigs, which suggests that most of the rainbow trout genome is duplicated.     

DNA library design for molecular computation.

A novel approach to designing a DNA library for molecular computation is presented. The method is employed for encoding binary information in DNA molecules. It aims to achieve a practical discrimination between perfectly matched DNA oligomers and those with mismatches in a large pool of different molecules. The approach takes into account the ability of DNA strands to hybridize in complex structures like hairpins, internal loops, or bulge loops and computes the stability of the hybrids formed based on thermodynamic data. A dynamic programming algorithm is applied to calculate the partition function for the ensemble of structures, which play a role in the hybridization reaction. The applicability of the method is demonstrated by the design of a twelve-bit DNA library. The library is constructed and experimentally tested using molecular biology tools. The results show a high level of specific hybridization achieved for all library words under identical conditions. The method is also applicable for the design of primers for PCR, DNA sequences for isothermal amplification reactions, and capture probes in DNA-chip arrays. The library could be applied for integrated DNA computing of twelve-bit instances of NP-complete combinatorial problems by multi-step DNA selection in microflow reactors.     

PTools: an opensource molecular docking library

Background  

Macromolecular docking is a challenging field of bioinformatics. Developing new algorithms is a slow process generally involving routine tasks that should be found in a robust library and not programmed from scratch for every new software application.     

Synthesis and molecular modeling study of new trimeric quinoline derivatives

Di- and trimeric quinoline derivatives have been recently described as potential modulators of Bcl-2 family protein interactions. However, only a few trimeric compounds have been described so far and an enlargement of the number of analogs of this class is needed to expand the structure–activity relationship study. Therefore, the synthesis of six new trimeric quinoline derivatives is reported. Moreover molecular modeling experiments were performed to study the conformational arrangement of compound 36 in Bak binding site of Bcl-x_L, showing that these compounds could be potential ligands for Bcl-x_L.     

Interaction of cardiotoxins with membranes: a molecular modeling study

Incorporation of beta-sheet proteins into membrane is studied theoretically for the first time, and the results are validated by the direct experimental data. Using Monte Carlo simulations with implicit membrane, we explore spatial structure, energetics, polarity, and mode of insertion of two cardiotoxins with different membrane-destabilizing activity. Both proteins, classified as P- and S-type cardiotoxins, are found to retain the overall "three-finger" fold interacting with membrane core and lipid/water interface by the tips of the "fingers" (loops). The insertion critically depends upon the structure, hydrophobicity, and electrostatics of certain regions. The simulations reveal apparently distinct binding modes for S- and P-type cardiotoxins via the first loop or through all three loops, respectively. This rationalizes an earlier empirical classification of cardiotoxins into S- and P-type, and provides a basis for the analysis of experimental data on their membrane affinities. Accomplished with our previous simulations of membrane alpha-helices, the computational method may be used to study partitioning of proteins with diverse folds into lipid bilayers.