AIMC Topic: Biochemical Phenomena

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Robotic end-to-end fusion of microtubules powered by kinesin.

Science robotics Nov 3, 2021
The active assembly of molecules by nanorobots has advanced greatly since “molecular manufacturing”—that is, the use of nanoscale tools to build molecular structures—was proposed. In contrast to a catalyst, which accelerates a reaction by smoothing t...
Adenosine Triphosphate Microtubules Models, Biological Motion Kinesins Ribosomes Biochemical Phenomena Drosophila melanogaster Rhodamines Robotics Robotic Surgical Procedures Animals Escherichia coli
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Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism.

Nature communications Sep 25, 2020
Through advanced mechanistic modeling and the generation of large high-quality datasets, machine learning is becoming an integral part of understanding and engineering living systems. Here we show that mechanistic and machine learning models can be c...
Amino Acids Models, Biological Genotype Metabolic Networks and Pathways Biochemical Phenomena Metabolic Engineering Tryptophan Saccharomyces cerevisiae Machine Learning Algorithms Phenotype Biosensing Techniques
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Deciphering anomalous heterogeneous intracellular transport with neural networks.

eLife Mar 24, 2020
Intracellular transport is predominantly heterogeneous in both time and space, exhibiting varying non-Brownian behavior. Characterization of this movement through averaging methods over an ensemble of trajectories or over the course of a single traje...
Biochemical Phenomena Transport Vesicles Motion Movement Humans Models, Biological Neural Networks, Computer Biological Transport
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MetScore: Site of Metabolism Prediction Beyond Cytochrome P450 Enzymes.

ChemMedChem Oct 2, 2018
The metabolism of xenobiotics by humans and other organisms is a complex process involving numerous enzymes that catalyze phase I (functionalization) and phase II (conjugation) reactions. Herein we introduce MetScore, a machine learning model that ca...
Humans Machine Learning Organic Chemicals Biochemical Phenomena Models, Chemical Cytochrome P-450 Enzyme System Databases, Chemical Stochastic Processes
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PCOSKB: A KnowledgeBase on genes, diseases, ontology terms and biochemical pathways associated with PolyCystic Ovary Syndrome.

Nucleic acids research Nov 17, 2015
Polycystic ovary syndrome (PCOS) is one of the major causes of female subfertility worldwide and ≈ 7-10% of women in reproductive age are affected by it. The affected individuals exhibit varying types and levels of comorbid conditions, along with the...
Protein Conformation Biochemical Phenomena Gene Regulatory Networks Gene Ontology Polycystic Ovary Syndrome Humans Female Mutation Polymorphism, Single Nucleotide Databases, Chemical Databases, Factual Comorbidity Knowledge Bases
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Neuroevolutive Algorithms Applied for Modeling Some Biochemical Separation Processes.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
Combining artificial neural networks with evolutive/bioinspired approaches is a technique that can solve a variety of issues regarding the topology determination and training for neural networks or for process optimization. In this chapter, the main ...
Humans Animals Neural Networks, Computer Biochemical Phenomena Algorithms
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Conceptual Challenges of the Systemic Approach in Understanding Cell Differentiation.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2018
The cells of a multicellular organism are derived from a single zygote and genetically identical. Yet, they are phenotypically very different. This difference is the result of a process commonly called cell differentiation. How the phenotypic diversi...
Biochemical Phenomena Phenotype Humans Animals Biological Ontologies Cell Differentiation Cell Physiological Phenomena Regeneration
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