The Laboratory of Theoretical Biochemistry (LBT) is one of five laboratories within Institut de Biologie Physico-Chimique (IBPC) in Paris.
LBT belongs to the French national research agency CNRS through its Institute of Chemistry, and is associated with Paris Diderot University. The laboratory was created at IBPC in 1958 as Laboratoire de Biochimie Théorique. Our field is theoretical and computational biochemistry, at the interface between biology, chemistry, physics, and computing.
Our strategic objectives are twofold: invent simulation algorithms to reproduce and predict physical properties of biomolecules either in vitro or in the cell, and understand the molecular or conformational factors responsible for the biological functions of living systems, and diseases. The equilibrium between these two aspects is the key point of the laboratory policy.
LBT is organized as a team of independent researchers with complementary interests and domains of expertise, both in method development and in biophysical, biochemical, and biomedical applications. Advances in each of these domains emerge from the association of different sets of researchers around individual projects.
Les axes de recherches du LBT se concentrent sur les développements méthodologiques et algorithmiques pour l’étude de la structure, la dynamique, la mécanique et les interactions des macromolécules biologiques.
Les objectifs sont donc d'utiliser les ordinateurs pour ouvrir des fenêtres vers le monde moléculaire, en aidant à comprendre les facteurs qui sous-tendent des faits expérimentaux, et en prédisant les propriétés et le comportement des molécules biologiques.
Directeur : Marc Baaden
Date: 12 11 月 2019 - 16:20
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Date: 7 2 月 2023 - 14:35
Desc: An abstract was not provided in the original work, so a preliminary abstract has been prepared as follows. The Faraday Discussion on Artificial Water Channels brought together experts from various fields related to water transport, including biological porins, artificial water channels, carbon nanotubes and graphene-based materials, and membranes for desalination and water treatment. During the discussion, the structure and function of natural proteins for water transport were discussed, as well as the formation of supramolecular tetrameric structures and structure-activity relationships in artificial water channels. The discussion also covered the modeling and enhancement of water hydrodynamics, and the application of artificial water channels to water transport systems, including reverse osmosis membranes integrated with aquaporins. The conference also featured poster presentations and social events for networking and discussion.
Date: 6 4 月 2020 - 17:42
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Date: 3 12 月 2012 - 15:30
Desc: Complex biological systems are intimately linked to their environment, a very crowded and equally complex solution compartmentalized by fluid membranes. Modeling such systems remains challenging and requires a suitable representation of these solutions and their interfaces. Here, we focus on particle-based modeling at an atomistic level using molecular dynamics (MD) simulations. As an example, we discuss important steps in modeling the solution chemistry of an ion channel of the ligand-gated ion channel receptor family, a major target of many drugs including anesthetics and addiction treatments. The bacterial pentameric ligand-gated ion channel (pLGIC) called GLIC provides clues about the functional importance of solvation, in particular for mechanisms such as permeation and gating. We present some current challenges along with promising novel modeling approaches.
Date: 17 10 月 2023 - 10:26
Desc: Background: Gene targeting depends on the ability of cells to use homologous recombination to integrate exogenous DNA into their own genome. A robust mechanistic model of homologous recombination is necessary to fully exploit gene targeting for therapeutic benefit. Methodology/Principal Findings: In this work, our recently developed numerical simulation model for homology search is employed to develop rules for the design of oligonucleotides used in gene targeting. A Metropolis Monte-Carlo algorithm is used to predict the pairing dynamics of an oligonucleotide with the target double-stranded DNA. The model calculates the base-alignment between a long, target double-stranded DNA and a probe nucleoprotein filament comprised of homologous recombination proteins (Rad51 or RecA) polymerized on a single strand DNA. In this study, we considered different sizes of oligonucleotides containing 1 or 3 base heterologies with the target; different positions on the probe were tested to investigate the effect of the mismatch position on the pairing dynamics and stability. We show that the optimal design is a compromise between the mean time to reach a perfect alignment between the two molecules and the stability of the complex. Conclusion and Significance: A single heterology can be placed anywhere without significantly affecting the stability of the triplex. In the case of three consecutive heterologies, our modeling recommends using long oligonucleotides (at least 35 bases) in which the heterologous sequences are positioned at an intermediate position. Oligonucleotides should not contain more than 10% consecutive heterologies to guarantee a stable pairing with the target dsDNA. Theoretical modeling cannot replace experiments, but we believe that our model can considerably accelerate optimization of oligonucleotides for gene therapy by predicting their pairing dynamics with the target dsDNA.
Institut de Biologie Physico-Chimique (IBPC)
13, rue Pierre et Marie Curie
75252 PARIS CEDEX 05