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Robert Pascal

Researcher at University of Montpellier

Publications -  95
Citations -  2187

Robert Pascal is an academic researcher from University of Montpellier. The author has contributed to research in topics: Peptide & Peptide synthesis. The author has an hindex of 27, co-authored 95 publications receiving 1940 citations. Previous affiliations of Robert Pascal include École nationale supérieure de chimie de Montpellier & Centre national de la recherche scientifique.

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Pathways for the formation and evolution of peptides in prebiotic environments

TL;DR: Chemical pathways that could have brought about features of self-organization in a peptide world are considered in this review and discussed in relation with their possible contribution to the origin of life.
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Towards an evolutionary theory of the origin of life based on kinetics and thermodynamics

TL;DR: An evolutionary view for the origin of life in which multiplying entities must be associated with the dissipation of free energy is presented, which requires a particular kind of stability for these stages—dynamic kinetic stability (DKS).
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Catalysis through Induced Intramolecularity: What Can Be Learned by Mimicking Enzymes with Carbonyl Compounds that Covalently Bind Substrates?

TL;DR: In this article, the authors describe a class of catalysts that use covalent binding to substrates at a site different from the reaction center and exhibits turnover, which is the result of a uniform stabilization of bound species, including both the transition state and also encounter complexes.
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The origin of life: what we know, what we can know and what we will never know

TL;DR: This essay proposes that following recent experimental and theoretical advances in systems chemistry, the underlying principle governing the emergence of life on the Earth can in its broadest sense be specified, and may be stated as follows: all stable (persistent) replicating systems will tend to evolve over time towards systems of greater stability.
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Mapping a Systematic Ribozyme Fitness Landscape Reveals a Frustrated Evolutionary Network for Self-Aminoacylating RNA.

TL;DR: The method (SCAPE: sequencing to measure catalytic activity paired with in vitro evolution) shows that the landscape contains three major ribozyme families (landscape peaks), and the frustrated nature of the evolutionary network suggests that chance emergence of a ribo enzyme motif would be more important than optimization by natural selection.