Our findings accommodate the prevailing BAK activation models as potentially coexisting mechanisms capable of initiating BAK activation, and supports a model based approach for predicting resistance to therapeutically relevant small molecule BH3 mimetics.
The first rule-based approaches for predicting fragmentation patterns and explaining experimental mass spectra with the help of a molecular structure were developed as part of the DENDRAL project.
First rule-based approaches for predicting fragmentation patterns, as well as explaining experimental mass spectra with the help of a molecular structure, were developed as part of the DENDRAL project that started back in 1965 [4 7]; see also Chapter 7 of [8].
Here, we present three ab initio structure-based approaches for predicting peptide binding to MHC class II molecules.
New theoretical methods and software applications continuously appear in different areas related to modeling, ranging from network-based approaches for predicting missing pathway interactions [ 22] to multi-level rule-based modeling [ 23].
We compare our stringent DDI-based approach to a conventional DDI-based approach for predicting PPIs based on gold standard intra-species PPIs and coherent informative Gene Ontology terms assessment.
In contrast to computational approaches based on similarity, genomic context methods involve several non-similarity based approaches to predict protein functions and interactions [ 13- 17].
We compare our stringent homology-based approach to a conventional homology-based approach for predicting host-pathogen PPIs, based on cellular compartment distribution analysis, disease gene list enrichment analysis, pathway enrichment analysis and functional category enrichment analysis.
Nagaraj and Reverter [ 1] proposed a Boolean logic based approach to predict colorectal cancer genes.
In this paper, we propose a stress function based iterative approach for predicting the interlaminar stresses in magneto-electro-elastic (MEE) composite layered laminates induced by both mechanical and piezomagnetic excitations.
This paper illustrates a numerical modeling based integrated approach for predicting the progressive caving behavior of strata and optimum capacity requirement of powered support for longwall working in a given geo-mining and strata condition.
