Literature DB >> 1237510

Correlation analysis. Its application to the structure-activity relationship of triazines inhibiting dihydrofolate reductase.

C Silipo, C Hansch.   

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Year:  1975        PMID： 1237510     DOI： 10.1021/ja00856a042

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN： 0002-7863            Impact factor:   15.419


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  6 in total

1.  The discovery of indicator variables for QSAR using inductive logic programming.

Authors:  R D King; A Srinivasan
Journal:  J Comput Aided Mol Des       Date:  1997-11       Impact factor: 3.686

2.  Structure-activity correlation study of HIV-1 inhibitors: electronic and molecular parameters.

Authors:  S Hannongbua; L Lawtrakul; J Limtrakul
Journal:  J Comput Aided Mol Des       Date:  1996-04       Impact factor: 3.686

3.  Statistical-like signature of molecular basis sets.

Authors:  Ramon Carbó-Dorca
Journal:  J Mol Model       Date:  2018-08-28       Impact factor: 1.810

4.  Replacement of steric 6-12 potential-derived interaction energies by atom-based indicator variables in CoMFA leads to models of higher consistency.

Authors:  R T Kroemer; P Hecht
Journal:  J Comput Aided Mol Des       Date:  1995-06       Impact factor: 3.686

5.  A new procedure for improving the predictiveness of CoMFA models and its application to a set of dihydrofolate reductase inhibitors.

Authors:  R T Kroemer; P Hecht
Journal:  J Comput Aided Mol Des       Date:  1995-10       Impact factor: 3.686

6.  Quantitative structure-activity relationships by neural networks and inductive logic programming. II. The inhibition of dihydrofolate reductase by triazines.

Authors:  J D Hirst; R D King; M J Sternberg
Journal:  J Comput Aided Mol Des       Date:  1994-08       Impact factor: 3.686
  6 in total

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