The European Federation of Pharmaceutical Sciences (EUFEPS) has long established itself as leaders in the field of interdisciplinary meetings to discuss issues that face drug development. It's ever popular and well attended "Optimizing Drug Development" series has tackled numerous issues, most recent of which have been drug interactions, getting the dose right, candidate selection, and biomarkers (Lesko et al., 2000; Rolan et al., 2003; Stanski et al., 2005; Tucker et al., 2001). Over a course of 3 productive days, the meeting on "Effective Integration of Systems Biology, Biomarkers, Biosimulation and Modelling in Streamlining Drug Development", held in Basel, Switzerland was jointly sponsored by EUFEPS, European Biosimulation Network of Excellence (BioSim), American College of Clinical Pharmacology (ACCP), European Centre of Pharmaceutical Medicine (ECPM), and Swiss Society of Pharmaceutical Sciences (SGRW). The meeting was focused on emerging aspects related to the quantitative understanding of underlying pathways in drug discovery and clinical development, i.e. moving from an empirical to a model-based, quantitative drug development process. The objectives of the meeting were: (1) to highlight the current state of the art on biomarkers (as they relate to quantitative fingerprinting of disease), systems biology, modelling and simulation; (2) to illustrate the applications of these emerging tools in increasing the efficiency and productivity of new drug development by case examples; (3) to understand the gaps in the technology and organizational implementations in governance, and (4) allow an opportunity for cross-disciplinary interaction, i.e., scientists with more theoretical and technical modelling and simulation expertise of the BioSim network and researchers experienced in applying modelling and simulation techniques in day-to-day drug development were drawn together. This report summarizes the outcome from this meeting.
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http://dx.doi.org/10.1016/j.ejps.2007.02.003 | DOI Listing |
Adv Sci (Weinh)
January 2025
Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang, 110122, China.
Hydrogen sulfide (HS)-mediated protein S-sulfhydration has been shown to play critical roles in several diseases. Tumor-associated macrophages (TAMs) are the predominant population of immune cells present within solid tumor tissues, and they function to restrict antitumor immunity. However, no previous study has investigated the role of protein S-sulfhydration in TAM reprogramming in breast cancer (BC).
View Article and Find Full Text PDFArch Dermatol Res
January 2025
Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Observational studies have shown that the risk of developing herpes zoster (HZ) increases with the use of statins. However, there are many confounding factors in observational studies. Therefore, our Mendelian randomization (MR) study aimed to explore the causal role of lipids in HZ and to assess the causal impact of lipid-lowering drug targets on HZ risk.
View Article and Find Full Text PDFDiscov Oncol
January 2025
Department of Bioscience and Biotechnology, Banasthali Vidyapith, Niwai-Tonk, Rajasthan, 304022, India.
The prominence of circular RNAs (circRNAs) has surged in cancer research due to their distinctive properties and impact on cancer development. This review delves into the role of circRNAs in four key cancer types: colorectal cancer (CRC), gastric cancer (GC), liver cancer (HCC), and lung cancer (LUAD). The focus lies on their potential as cancer biomarkers and drug targets.
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January 2025
Drug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, 700 032, India.
We have adopted the classification Read-Across Structure-Activity Relationship (c-RASAR) approach in the present study for machine-learning (ML)-based model development from a recently reported curated dataset of nephrotoxicity potential of orally active drugs. We initially developed ML models using nine different algorithms separately on topological descriptors (referred to as simply "descriptors" in the subsequent sections of the manuscript) and MACCS fingerprints (referred to as "fingerprints" in the subsequent sections of the manuscript), thus generating 18 different ML QSAR models. Using the chemical spaces defined by the modeling descriptors and fingerprints, the similarity and error-based RASAR descriptors were computed, and the most discriminating RASAR descriptors were used to develop another set of 18 different ML c-RASAR models.
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January 2025
Golestan Research Center of Gastroentrology and Hepatology & Stem Cell Research Center, Golestan University of Medical Sciences, Gorgan, Iran.
Children are highly sensitive to toxins which can damage their organs and lead to death. Investigating the main causes of intoxication could reduce mortality and morbidity in children. In this cross-sectional study, the documents of all poisoned patients (214 cases) admitted to the emergency department of Taleghani children`s Hospital between April 2020 and 2023 were investigated.
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