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Computational and Structural Biotechnology Journal

ISSN 2001-0370

5 papers in the library · 15 citations · publishing 2025

Papers

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Network pharmacology of cellular targets in major depressive disorder and differential mechanisms of fluoxetine, ketamine and esketamine

Computational and Structural Biotechnology Journal December 29, 2025 Silvia Tapia-Gonzalez, Josue G. Yagüe, George E. Barreto

Major depressive disorder (MDD) is a multifactorial mental health condition involving genetic, environmental, and neurobiological factors. Conventional antidepressants such as fluoxetine, a selective serotonin reuptake inhibitor, require weeks to exert therapeutic effects, whereas ketamine and esketamine act rapidly via glutamatergic modulation. These drugs may also converge on the inhibition...

Evidence of quantum-entangled higher states of consciousness.

Computational and Structural Biotechnology Journal 2025 Álex Escolà-Gascón 10 citations

What if quantum entanglement could accelerate learning by unlocking higher states of conscious experience? This study provides empirical and statistical evidence of how quantum entanglement influences consciousness at a biophysical level. We analyzed data from 106 monozygotic twin pairs (N = 212), randomly assigned to control and experimental groups. Using a consanguinity-based matching...

Mathematical proof of the Fisher-Escolà Q statistical distribution in quantum consciousness modeling.

Computational and Structural Biotechnology Journal 2025 Álex Escolà-Gascón, Julián Benito-León 5 citations

Quantum theories have long sought to explain conscious experience, yet their biggest challenge is not conceptual but methodological. A critical gap remains: the lack of statistical tools capable of empirically testing these theories against objective reality. This study introduces and formalizes the Q of Fisher-Escolà distribution, the first statistical model to integrate quantum and classical...

Conscious active inference I: A quantum model naturally implements the path integral needed for real-time planning and control.

Computational and Structural Biotechnology Journal 2025 Michael C Wiest, Arjan Singh Puniani

Active inference is a general framework for optimizing the behavior and learning of a sentient agential system. It may be interpreted as a general theory of sentient behavior and has been used to quantitatively model a wide variety of perceptual and behavioral contexts. Moreover, variables in neural process models of active inference appear to be represented by specific pathways in the brain,...

Conscious active inference II: Quantum orchestrated objective reduction among intraneuronal microtubules naturally accounts for discrete perceptual cycles.

Computational and Structural Biotechnology Journal 2025 Michael C Wiest, Arjan Singh Puniani

In the first of two companion papers, we argued that classical neural mechanisms proposed to implement conscious active inference had failed to establish their biological plausibility in terms of realistic biophysical models. We further explained that conscious (temporally deep) active inference is mathematically equivalent to the path integral that underlies quantum dynamics. As such, we...