Results 41 to 50 of about 332,063 (283)
CPORT: a consensus interface predictor and its performance in prediction-driven docking with HADDOCK. [PDF]
PLoS ONE, 2011 BACKGROUND: Macromolecular complexes are the molecular machines of the cell. Knowledge at the atomic level is essential to understand and influence their function.
Sjoerd J de Vries +1 more
doaj +1 more source
Improving Blind Docking in DOCK6 through an Automated Preliminary Fragment Probing Strategy
Molecules, 2021 Probing protein surfaces to accurately predict the binding site and conformation of a small molecule is a challenge currently addressed through mainly two different approaches: blind docking and cavity detection-guided docking.
Paula Jofily +2 more
doaj +1 more source
Blind Source Separation Using Temporal Predictability [PDF]
Neural Computation, 2001 A measure of temporal predictability is defined and used to separate linear mixtures of signals. Given any set of statistically independent source signals, it is conjectured here that a linear mixture of those signals has the following property: the temporal predictability of any signal mixture is less than (or equal to) that of any of its component ...
openaire +4 more sources
Delay and Predict Equalization for Blind Speech Dereverberation [PDF]
2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006 In this paper, we consider the blind multichannel dereverberation problem for a single source. The multichannel reverberation impulse response is assumed to be stationary enough to allow estimation of the correlations it induces from the received signals.
Mahdi Triki, Dirk T. M. Slock
openaire +1 more source
Semi-Blind Interference Prediction in Wireless Networks [PDF]
Proceedings of the 20th ACM International Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems, 2017 Our research investigates the concept of interference prediction as an unprecedented approach for interference management and medium access in wireless networks. This paper is a first step in this direction: it proposes and evaluates a simple interference prediction technique that is based on low-complexity learning.
Mahin K. Atiq +3 more
openaire +1 more source
Exploring structure-property relationships in magnesium dissolution modulators
npj Materials Degradation, 2021 Small organic molecules that modulate the degradation behavior of Mg constitute benign and useful materials to modify the service environment of light metal materials for specific applications.
Tim Würger +7 more
doaj +1 more source
Quantum effects in gravitational wave signals from cuspy superstrings [PDF]
, 2006 We study the gravitational emission, in Superstring Theory, from fundamental strings exhibiting cusps. The classical computation of the gravitational radiation signal from cuspy strings features strong bursts in the special null directions associated to ...
Chialva D +14 more
core +2 more sources
Collective Variable for Metadynamics Derived From AlphaFold Output
Frontiers in Molecular Biosciences, 2022 AlphaFold is a neural network–based tool for the prediction of 3D structures of proteins. In CASP14, a blind structure prediction challenge, it performed significantly better than other competitors, making it the best available structure prediction tool.
Vojtěch Spiwok +2 more
doaj +1 more source
The scientific basis for prediction research [PDF]
, 2012 Copyright @ 2012 ACMIn recent years there has been a huge growth in using statistical and machine learning methods to find useful prediction systems for software engineers.
Shepperd, M
core +1 more source
Protein Structure Prediction: The Next Generation
, 2006 Over the last 10-15 years a general understanding of the chemical reaction of protein folding has emerged from statistical mechanics. The lessons learned from protein folding kinetics based on energy landscape ideas have benefited protein structure ...
Eastwood, Michael P. +4 more
core +1 more source