Scientific workflows: moving across paradigms
Modern scientific collaborations have opened up the opportunity to solve complex problems
that require both multidisciplinary expertise and large-scale computational experiments …
that require both multidisciplinary expertise and large-scale computational experiments …
Apache airavata: a framework for distributed applications and computational workflows
In this paper, we introduce Apache Airavata, a software framework to compose, manage,
execute, and monitor distributed applications and workflows on computational resources …
execute, and monitor distributed applications and workflows on computational resources …
Paramfit: Automated optimization of force field parameters for molecular dynamics simulations
The generation of bond, angle, and torsion parameters for classical molecular dynamics
force fields typically requires fitting parameters such that classical properties such as …
force fields typically requires fitting parameters such that classical properties such as …
Apache Airavata: design and directions of a science gateway framework
This paper provides an overview of the Apache Airavata software system for science
gateways. Gateways use Airavata to manage application and workflow executions on a …
gateways. Gateways use Airavata to manage application and workflow executions on a …
Submolecular probing of the complement C5a receptor–ligand binding reveals a cooperative two-site binding mechanism
A current challenge to produce effective therapeutics is to accurately determine the location
of the ligand-biding site and to characterize its properties. So far, the mechanisms …
of the ligand-biding site and to characterize its properties. So far, the mechanisms …
From Static to Dynamic Structures: Improving Binding Affinity Prediction with Graph‐Based Deep Learning
Accurate prediction of protein‐ligand binding affinities is an essential challenge in structure‐
based drug design. Despite recent advances in data‐driven methods for affinity prediction …
based drug design. Despite recent advances in data‐driven methods for affinity prediction …
Laparoscopic virtual mirror new interaction paradigm for monitor based augmented reality
N Navab, M Feuerstein… - 2007 IEEE Virtual Reality …, 2007 - ieeexplore.ieee.org
A major roadblock for using augmented reality in many medical and industrial applications is
the fact that the user cannot take full advantage of the 3D virtual data. This usually requires …
the fact that the user cannot take full advantage of the 3D virtual data. This usually requires …
A least-squares-fitting procedure for an efficient preclinical ranking of passive transport across the blood–brain barrier endothelium
The treatment of various disorders of the central nervous system (CNS) is often impeded by
the limited brain exposure of drugs, which is regulated by the human blood–brain barrier …
the limited brain exposure of drugs, which is regulated by the human blood–brain barrier …
Atomistic model of solute transport across the blood–brain barrier
The blood–brain barrier remains a major roadblock to the delivery of drugs to the brain.
While in vitro and in vivo measurements of permeability are widely used to predict brain …
While in vitro and in vivo measurements of permeability are widely used to predict brain …
A credential store for multi-tenant science gateways
TA Kanewala, S Marru, J Basney… - 2014 14th IEEE/ACM …, 2014 - ieeexplore.ieee.org
Science Gateways bridge multiple computational grids and clouds, acting as overlay cyber
infrastructure. Gateways have three logical tiers: a user interfacing tier, a resource tier and a …
infrastructure. Gateways have three logical tiers: a user interfacing tier, a resource tier and a …