Drug design by machine learning: support vector machines for pharmaceutical data analysis

This publication has 14 references indexed in Scilit:

• Neural networks are useful tools for drug design
  Neural Networks, 2000
• Neural networks in drug discovery: have they lived up to their promise?
  European Journal of Medicinal Chemistry, 1999
• Hybrid toxicology expert system: architecture and implementation of a multi-domain hybrid expert system for toxicology
  Chemometrics and Intelligent Laboratory Systems, 1998
• A Tutorial on Support Vector Machines for Pattern Recognition
  Data Mining and Knowledge Discovery, 1998
• Analysis of a Large Structure‐Activity Data Set Using Recursive Partitioning
  Quantitative Structure-Activity Relationships, 1997
• Drug design by machine learning: the use of inductive logic programming to model the structure-activity relationships of trimethoprim analogues binding to dihydrofolate reductase.
  Proceedings of the National Academy of Sciences, 1992
• A time-delay neural network architecture for isolated word recognition
  Neural Networks, 1990
• Backpropagation Applied to Handwritten Zip Code Recognition
  Neural Computation, 1989
• The perceptron: A probabilistic model for information storage and organization in the brain.
  Psychological Review, 1958
• XVI. Functions of positive and negative type, and their connection the theory of integral equations
  Philosophical Transactions of the Royal Society A, 1909