Search Results - "Schneider, Nadine"
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GHOST: Adjusting the Decision Threshold to Handle Imbalanced Data in Machine Learning
Published in Journal of chemical information and modeling (28-06-2021)“…Machine learning classifiers trained on class imbalanced data are prone to overpredict the majority class. This leads to a larger misclassification rate for…”
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Big Data from Pharmaceutical Patents: A Computational Analysis of Medicinal Chemists’ Bread and Butter
Published in Journal of medicinal chemistry (12-05-2016)“…Multiple recent studies have focused on unraveling the content of the medicinal chemist’s toolbox. Here, we present an investigation of chemical reactions and…”
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What’s What: The (Nearly) Definitive Guide to Reaction Role Assignment
Published in Journal of chemical information and modeling (27-12-2016)“…When analyzing chemical reactions it is essential to know which molecules are actively involved in the reaction and which educts will form the product…”
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Development of a Novel Fingerprint for Chemical Reactions and Its Application to Large-Scale Reaction Classification and Similarity
Published in Journal of chemical information and modeling (26-01-2015)“…Fingerprint methods applied to molecules have proven to be useful for similarity determination and as inputs to machine-learning models. Here, we present the…”
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Lymphocyte predominant cells detect Moraxella catarrhalis-derived antigens in nodular lymphocyte-predominant Hodgkin lymphoma
Published in Nature communications (18-05-2020)“…Nodular lymphocyte-predominant Hodgkin lymphoma (NLPHL) is a rare lymphoma of B-cell origin with frequent expression of functional B-cell receptors (BCRs)…”
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SIMPD: an algorithm for generating simulated time splits for validating machine learning approaches
Published in Journal of cheminformatics (11-12-2023)“…Time-split cross-validation is broadly recognized as the gold standard for validating predictive models intended for use in medicinal chemistry projects…”
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Machine learning for small molecule drug discovery in academia and industry
Published in Artificial intelligence in the life sciences (01-12-2023)“…[Display omitted] Academic and pharmaceutical industry research are both key for progresses in the field of molecular machine learning. Despite common open…”
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Identification of New Citrulline‐Specific Autoantibodies, Which Bind to Human Arthritic Cartilage, by Mass Spectrometric Analysis of Citrullinated Type II Collagen
Published in Arthritis & rheumatology (Hoboken, N.J.) (01-06-2014)“…Objective To investigate type II collagen (CII) as a joint‐specific target of the anti–citrullinated protein antibody (ACPA) response in rheumatoid arthritis…”
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Cell adhesion-induced transient interaction of ADAM15 with poly(A) binding protein at the cell membrane colocalizes with mRNA translation
Published in PloS one (28-09-2018)“…The regulation of temporo-spatial compartmentalization of protein synthesis is of crucial importance for a variety of physiologic cellular functions. Here, we…”
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Enhancing In Vitro Bioactivity of Melt-Derived 45S5 Bioglass® by Comminution in a Stirred Media Mill
Published in Journal of the American Ceramic Society (01-01-2014)“…45S5 Bioglass® (45S5 BG) is a frequently applied Type A bioactive material, capable of forming an inherent bond to bone and soft tissue. Currently, applied…”
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Reducing the Concepts of Data Science and Machine Learning to Tools for the Bench Chemist
Published in Chimia (18-12-2019)“…Machine Learning and Data Science have enjoyed a renaissance due to the availability of increased computational power and larger data sets. Many questions can…”
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Clinical outcomes following intra-articular injection of autologous adipose-derived mesenchymal stem cells for the treatment of osteoarthritis in dogs characterized by weight-bearing asymmetry
Published in Bone & joint research (01-10-2021)“…Aims This study investigates the effects of intra-articular injection of adipose-derived mesenchymal stem cells (AdMSCs) and platelet-rich plasma (PRP) on…”
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Analysis of lysozyme in cheese by immunocapture mass spectrometry
Published in Journal of chromatography. B, Analytical technologies in the biomedical and life sciences (15-01-2010)“…The enzyme lysozyme is used as a preservative to prevent late blowing of ripened cheese, caused by Clostridium tyrobutyricum. Since the enzyme is extracted…”
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Anti-citrullinated protein antibodies cause arthritis by cross-reactivity to joint cartilage
Published in JCI insight (06-07-2017)“…Today, it is known that autoimmune diseases start a long time before clinical symptoms appear. Anti-citrullinated protein antibodies (ACPAs) appear many years…”
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Anti-citrullinated protein antibodies cause arthritis by cross-reactivity to joint cartilage
Published in JCI insight (06-07-2017)Get full text
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Supplier connectivity: a study on how to gain supplier acceptance for the integration of digital supply chain systems
Published in Supply chain management (29-08-2024)“…Purpose This paper aims to explore factors influencing suppliers' acceptance, integration challenges, expected benefits and support from customers when…”
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A consistent description of HYdrogen bond and DEhydration energies in protein–ligand complexes: methods behind the HYDE scoring function
Published in Journal of computer-aided molecular design (2013)“…The estimation of free energy of binding is a key problem in structure-based design. We developed the scoring function HYDE based on a consistent description…”
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Artificial intelligence in chemistry and drug design
Published in Journal of computer-aided molecular design (01-07-2020)Get full text
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Presentation of an innovative interdisciplinary and cross-sector therapeutic concept for pain patients as part of a regional selective contract
Published in Schmerz (Berlin, Germany) (01-10-2022)“…A graded therapeutic concept for the treatment of chronic pain patients in Germany is only available to a limited extent. Following the onset of coronavirus…”
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UNIQUE: A Framework for Uncertainty Quantification Benchmarking
Published in Journal of chemical information and modeling (14-11-2024)“…Machine learning (ML) models have become key in decision-making for many disciplines, including drug discovery and medicinal chemistry. ML models are generally…”
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