Evolutionary Models Reward Complexity for Complexity’s Sake
But then the complexity is not interesting. Crucially, it’s not really information. Source
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But then the complexity is not interesting. Crucially, it’s not really information. Source
These are the same type of understandable and logical computation circuits that humans design. What can we learn from observing this similarity? Source
To adapt the words of Theodosius Dobzhansky, I’m persuaded that nothing in biology makes sense except in light of intelligent design. Source
A new study proposes a theoretical framework that explains why the more complex an animal is, the harder it is to move the needle on […]
It is surprising to me that the authors of these studies did not consider it more of a priority to understand the mechanics of robustness. Source
Topoisomerases are molecular machines that play a critical role in resolving DNA tangles and supercoiling generated during DNA replication. Source
by Exequiel Jun V. Villejo, Aurelio A. de los Reyes V, Bryan S. Hernandez Analytically deriving equilibria, which often govern the long-term behavior of biochemical reaction netwo...
"According to evolution, biology should be a level below human technology because evolution is constrained." Source
by Gareth A. Cromie, Russell S. Lo, Lauren Ames, Trey S. Morgan, Katherine Owens, Anne E. Clark, Martin S. Timour, Julee Ashmead, Michelle Tang, J. Nathan Kutz, Joshua M. Akey, Aim...
Artificial intelligence has transformed biomedical research over the past decade, but most AI systems in biology remain confined to narrow tasks, single data types, or one biologic...
Long polymer chains are among the hidden structures that shape the modern world. They give plastics their strength, help biological materials organize themselves, and form the mole...
Macrobiological features have been cited as irreducibly complex, including animal joints and the trap mechanisms of carnivorous plants, even the cell itself. Source
A new open-science initiative will use AI and large-scale experiments in a continuous learning cycle to design new proteins, enzymes and cells.
Insider Brief A Washington University in St. Louis biologist is applying theories about how the brain balances order and chaos to a Department of Energy project aimed at making qua...
BioWin operates on the principle of whole-plant integrated process simulation, combining biological, chemical, and physical mathematical models into a single software platform to...
The fundamental problem with this analysis is that sexual reproduction does not make anything modular. Source
by Jiayuan Zhong, Xuerong Gu, Dandan Ding, Qiao Wei, Bowen Niu, Ting Tao, Pei Chen, Rui Liu Dynamic biological processes often undergo a critical transition, where the system shif...
"You are this body, and you are these molecules, and you are these atoms, and you are these quantum entities, and you are the quantum foam, and you are the energetic field of space...
Variant effect prediction has entered a new phase, but one of biology’s largest blind spots remains stubbornly difficult to resolve. Computational tools have become increasingly ef...
Because we are dealing with foundational scientific discoveries, we will address several “So what?” questions. Source
Tokyo, Japan—How much should an organism rely on memory when the present is good enough? New work from the Institute of Industrial Science, The University of Tokyo, and RIKEN refra...
PARLIAMENT QUESTION: Contribution of BioE3 PolicyPosted On: 06 AUG 2026 2:56PM by PIB DelhiThe Department of Biotechnology (DBT) has identified six thematic verticals in the BioE3...
A more coherent approach: a peptide-mapping LC-HRMS (liquid chromatography-high resolution mass spectrometry) workflow that can identify and monitor multiple product quality attrib...
Biodiversity data are accumulating at an extraordinary rate, yet the information needed to understand ecological change often remains fragmented, inconsistent, and difficult to con...
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