Antes de Memmo, mis apuntes estaban dispersos en PDFs. Ahora, un espacio de trabajo lo reúne todo y veo exactamente lo que me queda por estudiar.
Comprising two volumes, RNA: Computational Methods for Structure, Kinetics, and Rational Design is a comprehensive treatment of computational methods concerning the secondary structure, folding kinetics and rational design of RNA. Volume 2 covers secondary structure folding kinetics, starting with an inquiry into whether the ensemble of RNA structures is small-world or scale-free, then proceeding to the identification of local energy minima that create a basin of attraction, leading to a coarse-grained kinetics model.
The book describes Markov state models created from secondary structure folding trajectories generated by the kinetic Monte Carlo (Gillespie) algorithm, the first such application. Python code is available at the book’s website, allowing research teams to use the code and extend the approach. Current RNA research concerns the rational design of functional RNA molecules, which The book provides an overview and comparison of various inverse folding algorithms, combinatorial optimization, and the question of whether inverse folding is computationally hard (NP-complete). Another chapter focuses on various types of designed RNA including ribozymes, RNA thermometers, bistable switches, toehold switches, mRNA vaccines, and paper-based COVID-19 tests. The final chapter is a math appendix for the linear algebra and Markov chain results that are essential to folding kinetics.
This book provides the nuts, bolts and tools for the next generation of computational work on RNA, especially for the rational design of functional molecules – a topic that not so long ago seemed more like science fiction. Exercises at the end of each chapter introduce new material or related concepts, and solutions are available at the book’s website. It is perfect for advanced undergraduate, graduate and post-graduate readers having analytical interests and skills from areas such as physical chemistry, physics, mathematics, computer science, and statistics.
Instructor slides, computer programs and solutions to all exercises from Volumes 1 and 2 can be found at the following website: https://github.com/pgclote/RNA-Computational-methods-for-structure-kinetics-and-rational-design-Solutions-slides-etc.-.
Antes de Memmo, mis apuntes estaban dispersos en PDFs. Ahora, un espacio de trabajo lo reúne todo y veo exactamente lo que me queda por estudiar.
Los resúmenes de Memmo son oro antes de los exámenes. No tengo que releer 800 páginas dos semanas antes, solo las partes importantes.
El chat de IA me ha salvado la noche antes de un examen más de una vez. Sigo preguntando hasta que lo entiendo, sin esperar a que un grupo de estudio responda.
Los cuestionarios aciertan exactamente lo que necesito saber. Memmo registra dónde me atasco, así que solo practico lo que vale la pena.
Las flashcards con repetición espaciada son magia. Memmo sabe cuándo estoy a punto de olvidar algo y me lo recuerda.
Los pódcasts de IA son mis favoritos. Los escucho de camino a la universidad y obtengo un resumen sin tener que sentarme frente a un ordenador.
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