AIMC Topic: Molecular Biology

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Machine Learning Approach to Analyze the Surface Properties of Biological Materials.

ACS biomaterials science & engineering
Similar to how CRISPR has revolutionized the field of molecular biology, machine learning may drastically boost research in the area of materials science. Machine learning is a fast-evolving method that allows for analyzing big data and unveiling cor...

Generative deep learning for macromolecular structure and dynamics.

Current opinion in structural biology
Much scientific enquiry across disciplines is founded upon a mechanistic treatment of dynamic systems that ties form to function. A highly visible instance of this is in molecular biology, where characterizing macromolecular structure and dynamics is...

Identification of an epigenetic signature in human induced pluripotent stem cells using a linear machine learning model.

Human cell
The use of human induced pluripotent stem cells (iPSCs), used as an alternative to human embryonic stem cells (ESCs), is a potential solution to challenges, such as immune rejection, and does not involve the ethical issues concerning the use of ESCs ...

Ontologically simple theories do not indicate the true nature of complex biological systems: three test cases.

History and philosophy of the life sciences
A longstanding philosophical premise perceives simplicity as a desirable attribute of scientific theories. One of several raised justifications for this notion is that simple theories are more likely to indicate the true makeup of natural systems. Qu...

Hierarchy and levels: analysing networks to study mechanisms in molecular biology.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Network representations are flat while mechanisms are organized into a hierarchy of levels, suggesting that the two are fundamentally opposed. I challenge this opposition by focusing on two aspects of the ways in which large-scale networks constructe...

Machine learning approaches and their current application in plant molecular biology: A systematic review.

Plant science : an international journal of experimental plant biology
Machine learning (ML) is a field of artificial intelligence that has rapidly emerged in molecular biology, thus allowing the exploitation of Big Data concepts in plant genomics. In this context, the main challenges are given in terms of how to analyz...

MAPLE (modular automated platform for large-scale experiments), a robot for integrated organism-handling and phenotyping.

eLife
Lab organisms are valuable in part because of large-scale experiments like screens, but performing such experiments over long time periods by hand is arduous and error-prone. Organism-handling robots could revolutionize large-scale experiments in the...

An Extended SNOMED CT Concept Model for Observations in Molecular Genetics.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Molecular genetics laboratory reports are multiplying and increasingly of clinical importance in diagnosis and treatment of cancer, infectious disease and managing of public health. Little of this data is structured or maintained in the EHR in format...