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How Accurately Can We Predict the Melting Points of Drug-like Compounds?
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Handbook of Molecular Descriptors
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Eine einfache Korrelation zwischen Wasserlöslichkeit und Struktur von Kohlenwasserstoffen und Halogenkohlenwasserstoffen
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Estimation of Melting Points of Organic Compounds-II
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Associative Neural Network
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Neural Network Studies. 4. Introduction to Associative Neural Networks
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Molecular Descriptors Influencing Melting Point and Their Role in Classification of Solid Drugs
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The Chemistry Development Kit (CDK): An Open-Source Java Library for Chemo- and Bioinformatics
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Generalized Fragment-Substructure Based Property Prediction Method
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General Melting Point Prediction Based on a Diverse Compound Data Set and Artificial Neural Networks
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Melting Point Prediction Employing k -Nearest Neighbor Algorithms and Genetic Parameter Optimization
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Why Are Some Properties More Difficult To Predict than Others? A Study of QSPR Models of Solubility, Melting Point, and Log P
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Current Status of Methods for Defining the Applicability Domain of (Quantitative) Structure-Activity Relationships
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QSAR Applicability Domain Estimation by Projection of the Training Set in Descriptor Space: A Review
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ISIDA - Platform for Virtual Screening Based on Fragment and Pharmacophoric Descriptors
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Jean-Claude Bradley Double Plus Good (Highly Curated and Validated) Melting Point Dataset
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