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Aug 23, 2016 · This paper presents an improvement on the search and filtering stage of protein docking using principles of constraint programming. By imposing ...
A constraint-based approach is proposed that improves the search by eliminating redundancies and adapting the sampling to the size and shape of the proteins ...
In this paper we propose a constraint-based approach that improves the search by eliminating these redundancies and adapting the sampling to the size and shape ...
In this paper we propose a constraint-based approach that improves the search by eliminating these redundancies and adapting the sampling to the size and shape ...
In this paper we propose a constraint-based approach that improves the search by eliminating these redundancies and adapting the sampling to the size and shape ...
Feb 20, 2015 · This paper presents a constraint-based method for improving protein docking results. Efficient constraint propagation cuts over 95% of the search time.
We demonstrate that by stochastically perturbing the neural network by enabling dropout at inference combined with massive sampling, it is possible to improve ...
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Sep 24, 2021 · Once the docking model is calibrated, large libraries of molecules can be virtually screened against the target protein. For this virtual screen ...
Constraining protein docking with coevolution data for medical research. ... Improving protein docking with redundancy constraints. in press. [Google ...
Aug 5, 2024 · The goal of this paper is to show that this first impression is misleading and that CP is a useful technique for improving protein docking even ...
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