Novel Small Organic Molecules for a Highly Enantioselective Direct Aldol Reaction

2003 ◽  
Vol 125 (18) ◽  
pp. 5262-5263 ◽  
Author(s):  
Zhuo Tang ◽  
Fan Jiang ◽  
Luo-Ting Yu ◽  
Xin Cui ◽  
Liu-Zhu Gong ◽  
...  
ChemInform ◽  
2003 ◽  
Vol 34 (34) ◽  
Author(s):  
Zhuo Tang ◽  
Fan Jiang ◽  
Luo-Ting Yu ◽  
Xin Cui ◽  
Liu-Zhu Gong ◽  
...  

2011 ◽  
Vol 13 (24) ◽  
pp. 6600-6600
Author(s):  
Monika Raj ◽  
Vishnumaya ◽  
Sandeep K. Ginotra ◽  
Vinod K. Singh

2006 ◽  
Vol 8 (18) ◽  
pp. 4097-4099 ◽  
Author(s):  
Monika Raj ◽  
Vishnumaya ◽  
Sandeep K. Ginotra ◽  
Vinod K. Singh

ChemInform ◽  
2012 ◽  
Vol 43 (40) ◽  
pp. no-no
Author(s):  
Vishnumaya Bisai ◽  
Alakesh Bisai ◽  
Vinod K. Singh

Tetrahedron ◽  
2012 ◽  
Vol 68 (24) ◽  
pp. 4541-4580 ◽  
Author(s):  
Vishnumaya Bisai ◽  
Alakesh Bisai ◽  
Vinod K. Singh

ChemInform ◽  
2007 ◽  
Vol 38 (3) ◽  
Author(s):  
Monika Raj ◽  
Vishnumaya Vishnumaya ◽  
Sandeep K. Ginotra ◽  
Vinod K. Singh

Author(s):  
Joshua Horton ◽  
Alice Allen ◽  
Leela Dodda ◽  
Daniel Cole

<div><div><div><p>Modern molecular mechanics force fields are widely used for modelling the dynamics and interactions of small organic molecules using libraries of transferable force field parameters. For molecules outside the training set, parameters may be missing or inaccurate, and in these cases, it may be preferable to derive molecule-specific parameters. Here we present an intuitive parameter derivation toolkit, QUBEKit (QUantum mechanical BEspoke Kit), which enables the automated generation of system-specific small molecule force field parameters directly from quantum mechanics. QUBEKit is written in python and combines the latest QM parameter derivation methodologies with a novel method for deriving the positions and charges of off-center virtual sites. As a proof of concept, we have re-derived a complete set of parameters for 109 small organic molecules, and assessed the accuracy by comparing computed liquid properties with experiment. QUBEKit gives highly competitive results when compared to standard transferable force fields, with mean unsigned errors of 0.024 g/cm3, 0.79 kcal/mol and 1.17 kcal/mol for the liquid density, heat of vaporization and free energy of hydration respectively. This indicates that the derived parameters are suitable for molecular modelling applications, including computer-aided drug design.</p></div></div></div>


Sign in / Sign up

Export Citation Format

Share Document