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In Silico Studies

Home / Publications / Pain Research Forum / Papers of the Week / In Silico Studies
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Conformationally Restricted σ Receptor Antagonists from (-)-Isopulegol.

Antagonists at σ receptors have great potential for the treatment of neuropathic pain. Starting from monoterpene (-)-isopulegol (), aminodiols were obtained and transformed into bicyclic and tricyclic ligands . Aminodiols […]

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Design and development of novel, short, stable dynorphin-based opioid agonists for safer analgesic therapy.

Kappa opioid receptors have exceptional potential as an analgesic target, seemingly devoid of many problematic Mu receptor side-effects. Kappa-selective, small molecule pharmaceutical agents have been developed, but centrally mediated side-effects […]

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Thirty-year survey of bibliometrics used in the research literature of pain: Analysis, evolution, and pitfalls.

During the last decades, the emergence of Bibliometrics and the progress in Pain research have led to a proliferation of bibliometric studies on the medical and scientific literature of pain […]

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Prediction models for chronic postsurgical pain in patients with breast cancer based on machine learning approaches.

This study aimed to develop prediction models for chronic postsurgical pain (CPSP) after breast cancer surgery using machine learning approaches and evaluate their performance.

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How to entrain a selected neuronal rhythm but not others: open-loop dithered brain stimulation for selective entrainment.

While brain stimulation therapies such as deep brain stimulation for Parkinson’s disease (PD) can be effective, they have yet to reach their full potential across neurological disorders. Entraining neuronal rhythms […]

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Relationship between physical activity and central sensitization in chronic low back pain: Insights from machine learning.

Chronic low back pain (CLBP) is a leading cause of disability. The management guidelines for the management of CLBP often recommend optimizing physical activity (PA). Among a subsample of patients […]

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A machine learning approach to support triaging of primary versus secondary headache patients using complete blood count.

Headaches account for up to 4.5% of emergency department visits, where they present a significant diagnostic challenge. While primary headaches are benign, secondary headaches can be life-threatening. It is essential […]

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Flexible Organic-Inorganic Halide Perovskite-Based Diffusive Memristor for Artificial Nociceptors.

With the current evolution in the artificial intelligence technology, more biomimetic functions are essential to execute increasingly complicated tasks and respond to challenging work environments. Therefore, an artificial nociceptor plays […]

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Identification of the molecular determinants of antagonist potency in the allosteric binding pocket of human P2X4.

P2X receptors are a family of ATP-gated cation channels comprising seven subtypes in mammals, which play key roles in nerve transmission, pain sensation and inflammation. The P2X4 receptor in particular […]

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Functional mixed effects clustering with application to longitudinal urologic chronic pelvic pain syndrome symptom data.

By clustering patients with the urologic chronic pelvic pain syndromes (UCPPS) into homogeneous subgroups and associating these subgroups with baseline covariates and other clinical outcomes, we provide opportunities to investigate […]

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