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protein-ligand binding sites. Based on individually designed queries, users

protein structures. WarPP was validated on a high-quality set of 1,500 protein

protein-ligand complexes. It adds missing hydrogen atoms to protein

protein structures play a vital role in drug design. Structure

filtering of digested protein datasets to accelerate experimental spectra cross-referencing.

protein binders, achieving strong binding across diverse target classes including

protein levels that are independent of total mRNA levels (i.e. changes

bipartite graph of protein complex membership using AP-MS data.

protein (RBP) is key to understand (post-) transcriptional regulatory processes

protein’s simultaneous impact into multiple complexes based on network

protein-protein interaction networks and the detection of functional modules

Protein Phosphorylation, Copy Number Alteration) hosted by the Computational Biology

protein binding sites from ChIP-seq and nucleosome positioning experiments

protein expression analysis, ADT evaluation, ligand-receptor interaction analysis, and interactive

interactions of proteins to guide and validate the integration of links.

protein pools in the samples and thus improve protein identification

protein expression data. DecontX is a novel Bayesian method to computationally

protein-protein interaction (PPI), chemical-chemical interaction (CCI), or single

proteins whose interactions in the network is dysregulated by the compound

proteins (Y), to infer a matrix of molecular protein dependencies

protein abundance estimates varies by the number of peptides/PSMs quantified

protein domains or metabolomics profiling, are propagated to their neighbours

proteins. These are individual amino acids that accumulate mutations at a much

protein interaction profiles of small molecules from whole cell or tissue

protein-coding genes, distal enhancers, and genes encoding microRNAs and lncRNAs

proteins using BD Accuri C6 and SORP cytometers. However, the functions

protein engineering is key to solving fundamental problems in synthetic

protein sequences using 'ggplot2'. Multiple sequence alignment can easily be combined

protein identifiers between state-of-art biological databases: CARD (<https://card.mcmaster.ca

entries and data snapshots with pairwise associations (metabolite-gene,-protein,-disease).

interface to and data from the Human Protein Atlas project.

proteins (IDPs) within R. This package is used to identify

Protein Network (IPN) integrated from several Protein protein Interaction Networks

protein domains etc.) from quantification of all types of RNA-seq (short/long

protein to interact with it. The DNA binding protein has to be described

protein and gene information can be searched for using the API. Methods

proteins, metabolites) is much larger than the number of samples

proteins from multi-omics' data (MOMA) algorithm, as well as ancillary

proteins between two biological conditions. Three tests are available: Poisson

relative protein significance analysis in DDA, SRM and DIA experiments.

protein significance analysis. Provides functions for summarization, estimation of LiP peptide

proteins, as well as the integration of the quantification results

proteins in shotgun mass spectrometry-based proteomic experiments with tandem

proteins shuttle and contact specific non-rDNA genomic loci. Deep

protein binding within regions of the transcriptome defined by the user

analysis of thermal proteome profiles reveals novel drug-binding proteins.

protein) microarray data that has been saved in gpr file

protein-protein interaction (PPI) networks in target organisms for which

Protein domains is one of the most import annoation of proteins

protein groups enable the analysis of quantitative data available for protein