pipeline pilot version 6.5.1 (Accelrys)
90
Structured Review
Accelrys
pipeline pilot version 6.5.1
Pipeline Pilot Version 6.5.1, supplied by Accelrys, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pipeline+pilot+version+6%2E5%2E1/pipeline+pilot++version+6+5+1/pm22414491-363-12-16
Average 90 stars, based on 1 article reviews
Pipeline Pilot Version 6.5.1, supplied by Accelrys, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pipeline+pilot+version+6%2E5%2E1/pipeline+pilot++version+6+5+1/pm22414491-363-12-16
Average 90 stars, based on 1 article reviews
pipeline pilot version 6.5.1 - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: Cross-target view to feature selection: identification of molecular interaction features in ligand-target space. Article Snippet: There is growing interest in computational chemogenomics, which aims to identify all possible ligands of all target families using in silico prediction models.. In particular, kernel methods provide a means of integrating compounds and proteins in a principled manner and enable the exploration of ligand-target binding on a genomic scale.. To better understand the link between ligands and targets, it is of fundamental interest to identify molecular interaction features that contribute to prediction of ligand-target binding. Article Title: Dissecting kinase profiling data to predict activity and understand cross-reactivity of kinase inhibitors. Article Snippet: The development of selective and multitargeted kinase inhibitors has received much attention, because crossreactivity with unintended targets may cause toxic side effects, while it can also give rise to efficacious multitargeted drugs.. Here we describe a deconvolution approach to dissecting kinase profiling data in order to gain knowledge about cross-reactivity of inhibitors from large-scale profiling data.. This approach not only enables activity predictions of given compounds on a kinome-wide scale, but also allows to extract residue−fragment pairs that are associated with activity. |