Lifeboat Foundation

A recent study published in the Proceedings of the National Academy of Sciences examines the use of Softbotics to mimic the movements of the ancient marine organism, pleurocystitid, which is estimated to have existed approximately 450 million years ago and is believed to be one of the first marine invertebrates to control their movements with a muscular stem. This study was led by researchers from Carnegie Mellon University and holds the potential to help scientists use a new field known as Paleobionics to better understand the evolutionary history of extinct organisms with paleontological evidence.

Image of a Pleurocystitid fossil (inset) and the pleurocystitid robot replica developed for the study. (Credit: Carnegie Mellon University College of Engineering)

“Softbotics is another approach to inform science using soft materials to construct flexible robot limbs and appendages,” said Dr. Carmel Majidi, who is a Professor of Mechanical Engineering at Carnegie Mellon University and lead author of the study. “Many fundamental principles of biology and nature can only fully be explained if we look back at the evolutionary timeline of how animals evolved. We are building robot analogues to study how locomotion has changed.”

Aging is a natural process that affects all living organisms, prompting gradual changes in their behavior and abilities. Past studies have highlighted several physiological factors that can contribute to aging, including the body’s immune responses, an imbalance between the production of reactive oxygen (i.e., free radicals) and antioxidants, and sleep disturbances.

While the link between aging and these different factors is well-document, the connection between them is still poorly understood. Researchers at Washington University in St. Louis recently identified an immune molecule that could play a key role in modulating the process of aging and the duration living organism’s lifespan.

Their paper, published in Neuron, was inspired by two independent research efforts at the university.

Julia Eckert, biophysicist at the University of Queensland, recently uncovered nested forms of symmetry in mammalian tissues. This work is bringing the powerful math of fluid dynamics to the messy world of biology.

After identifying interlocking symmetries in mammalian cells, scientists can describe some tissues as liquid crystals — an observation that lays the groundwork for a fluid-dynamic theory of how tissues move.

An excellent short review on structure and function of the hypothalamus, one of my favorite regions of the brain! Link: https://www.science.org/doi/10.1126/science.adh8488 #neuroscience #biology

The hypothalamus (“hypo” meaning below, and “thalamus” meaning bed) consists of regulatory circuits that support basic life functions that ensure survival. Sitting at the interface between peripheral, environmental, and neural inputs, the hypothalamus integrates these sensory inputs to influence a range of physiologies and behaviors. Unlike the neocortex, in which a stereotyped cytoarchitecture mediates complex functions across a comparatively small number of neuronal fates, the hypothalamus comprises upwards of thousands of distinct cell types that form redundant yet functionally discrete circuits. With single-cell RNA sequencing studies revealing further cellular heterogeneity and modern photonic tools enabling high-resolution dissection of complex circuitry, a new era of hypothalamic mapping has begun. Here, we provide a general overview of mammalian hypothalamic organization, development, and connectivity to help welcome newcomers into this exciting field.

Toxins high-cite paper🤩

Title: ☎Dr. Sara Ragucci and Dr. Antimo Di Maro.

Read this review to have an overview of Mushrooms:

Continue reading “An Updated Review of Bioactive Peptides from Mushrooms in a Well-Defined Molecular Weight Range” »

Progress update: Our latest AlphaFold model shows significantly improved accuracy and expands coverage beyond proteins to other biological molecules, including ligands.

Since its release in 2020, AlphaFold has revolutionized how proteins and their interactions are understood. Google DeepMind and Isomorphic Labs have been working together to build the foundations of a more powerful AI model that expands coverage beyond just proteins to the full range of biologically-relevant molecules.

Today we’re sharing an update on progress towards the next generation of AlphaFold. Our latest model can now generate predictions for nearly all molecules in the Protein Data Bank (PDB), frequently reaching atomic accuracy.

In a new study, Deepmind and colleagues at Isomorphic Labs show early results from a new version of AlphaFold that brings fully automated structure prediction of biological molecules closer to reality.

The Google Deepmind AlphaFold and Isomorphic Labs team today unveiled the latest AlphaFold model. According to the companies, the updated model can now predict the structure of almost any molecule in the Protein Data Bank (PDB), often with atomic accuracy. This development, they say, is an important step towards a better understanding of the complex biological mechanisms within cells.

Since its launch in 2020, AlphaFold has influenced protein structure prediction worldwide. The latest version of the model goes beyond proteins to include a wide range of biologically relevant molecules such as ligands, nucleic acids and post-translational modifications. These structures are critical to understanding biological mechanisms in cells and have been difficult to predict with high accuracy, according to Deepmind.

Research led by Peking University, China, has discovered a single type of retinal photoreceptor cell in Drosophila (fruit fly) is involved in both visual perception and circadian photoentrainment by co-releasing histamine and acetylcholine at the first visual synapse.

In a paper, “A single photoreceptor splits perception and entrainment by cotransmission,” published in Nature, the team details the discovery that the Drosophila visual system segregates visual perception and circadian photoentrainment by co-transmitting two neurotransmitters, histamine and acetylcholine, in the R8 photoreceptor cells.

Light detection involves capturing signals through photoreceptors in the eye, which are essential for image formation and subconscious visual functions, such as regulating biological rhythms according to the daily light-dark cycle (photoentrainment of the circadian clock). The optical system has distinct pathways for image formation (based on local contrast) and non-image-related tasks (based on global irradiance).

OpenAI’s new preparedness team will address the potential dangers associated with AI, including nuclear threats.

OpenAI is forming a new team to mitigate the “catastrophic risks” associated with AI. In an update on Thursday.

The team will also work to mitigate “chemical, biological, and radiological threats,” as well as “autonomous replication,” or the act of an AI replicating itself. Some other risks that the preparedness team will address include AI’s ability to trick humans, as well as cybersecurity threats.

Continue reading “OpenAI forms new team to assess ‘catastrophic risks’ of AI” »