AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading

نویسندگان

  • Oleg Trott
  • Arthur J. Olson
چکیده

AutoDock Vina, a new program for molecular docking and virtual screening, is presented. AutoDock Vina achieves an approximately two orders of magnitude speed-up compared with the molecular docking software previously developed in our lab (AutoDock 4), while also significantly improving the accuracy of the binding mode predictions, judging by our tests on the training set used in AutoDock 4 development. Further speed-up is achieved from parallelism, by using multithreading on multicore machines. AutoDock Vina automatically calculates the grid maps and clusters the results in a way transparent to the user.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

AutoDock VinaXB: implementation of XBSF, new empirical halogen bond scoring function, into AutoDock Vina

BACKGROUND Halogen bonding has recently come to play as a target for lead optimization in rational drug design. However, most docking program don't account for halogen bonding in their scoring functions and are not able to utilize this new approach. In this study a new and improved halogen bonding scoring function (XBSF) is presented along with its implementation in the AutoDock Vina molecular ...

متن کامل

The Performance of Several Docking Programs at Reproducing Protein-Macrolide-Like Crystal Structures.

The accuracy of five docking programs at reproducing crystallographic structures of complexes of 8 macrolides and 12 related macrocyclic structures, all with their corresponding receptors, was evaluated. Self-docking calculations indicated excellent performance in all cases (mean RMSD values ≤ 1.0) and confirmed the speed of AutoDock Vina. Afterwards, the lowest-energy conformer of each molecul...

متن کامل

A Machine Learning Approach to Enhance Scoring Performance in Docking-Based Virtual Screening Experiments: COX-1 as a Case Study

Molecular docking can be reasonably successful at reproducing X-ray poses of a ligand in the binding site of a protein. However, scoring functions are typically unsuccessful at correctly ranking ligands according to their binding affinity. Using cyclooxygenase-1 (COX-1), a particularly challenging workhorse in virtual screening (VS) we show how the use of support vector machines (SVMs), trained...

متن کامل

Correlation between Virtual Screening Performance and Binding Site Descriptors of Protein Targets

Rescoring is a simple approach that theoretically could improve the original docking results. In this study AutoDock Vina was used as a docked engine and three other scoring functions besides the original scoring function, Vina, as well as their combinations as consensus scoring functions were employed to explore the effect of rescoring on virtual screenings that had been done on diverse target...

متن کامل

Ligand Pose Optimization with Atomic Grid-Based Convolutional Neural Networks

Docking is an important tool in computational drug discovery that aims to predict the binding pose of a ligand to a target protein through a combination of pose scoring and optimization. A scoring function that is differentiable with respect to atom positions can be used for both scoring and gradient-based optimization of poses for docking. Using a differentiable grid-based atomic representatio...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Journal of computational chemistry

دوره 31 2  شماره 

صفحات  -

تاریخ انتشار 2010