1. Evaluation of log P, pK_a, and log D predictions from the SAMPL7 blind challenge

   • Teresa Danielle Bergazin
   • Nicolas Tielker
   • David L. Mobley

   OriginalPaper Open access 24 June 2021 Pages: 771 - 802

   

2. Prediction of n-octanol/water partition coefficients and acidity constants (pK_a) in the SAMPL7 blind challenge with the IEFPCM-MST model

   • Antonio Viayna
   • Silvana Pinheiro
   • William J. Zamora

   OriginalPaper Open access 10 July 2021 Pages: 803 - 811

   

3. COSMO-RS predictions of logP in the SAMPL7 blind challenge

   • Judith Warnau
   • Karin Wichmann
   • Jens Reinisch

   OriginalPaper 14 June 2021 Pages: 813 - 818

   

4. Predicting partition coefficients for the SAMPL7 physical property challenge using the ClassicalGSG method

   • Nazanin Donyapour
   • Alex Dickson

   OriginalPaper 28 June 2021 Pages: 819 - 830

   

5. Energy-entropy prediction of octanol–water logP of SAMPL7 N-acyl sulfonamide bioisosters

   • Fabio Falcioni
   • Jas Kalayan
   • Richard H. Henchman

   OriginalPaper Open access 10 July 2021 Pages: 831 - 840

   

6. SAMPL7 blind challenge: quantum–mechanical prediction of partition coefficients and acid dissociation constants for small drug-like molecules

   • Basak Koca Fındık
   • Zeynep Pinar Haslak
   • Viktorya Aviyente

   OriginalPaper 24 June 2021 Pages: 841 - 851

   

7. Precise force-field-based calculations of octanol-water partition coefficients for the SAMPL7 molecules

   • Shujie Fan
   • Hristo Nedev
   • Oliver Beckstein

   OriginalPaper 07 July 2021 Pages: 853 - 870