A survey on computational models for predicting protein–protein interactions
Proteins interact with each other to play critical roles in many biological processes in cells.
Although promising, laboratory experiments usually suffer from the disadvantages of being …
Although promising, laboratory experiments usually suffer from the disadvantages of being …
Biological applications of knowledge graph embedding models
Complex biological systems are traditionally modelled as graphs of interconnected
biological entities. These graphs, ie biological knowledge graphs, are then processed using …
biological entities. These graphs, ie biological knowledge graphs, are then processed using …
PRODIGY: a web server for predicting the binding affinity of protein–protein complexes
Gaining insights into the structural determinants of protein–protein interactions holds the key
for a deeper understanding of biological functions, diseases and development of …
for a deeper understanding of biological functions, diseases and development of …
Classification and prediction of protein–protein interaction interface using machine learning algorithm
Structural insight of the protein–protein interaction (PPI) interface can provide knowledge
about the kinetics, thermodynamics and molecular functions of the complex while …
about the kinetics, thermodynamics and molecular functions of the complex while …
[HTML][HTML] Mutations at protein-protein interfaces: Small changes over big surfaces have large impacts on human health
Many essential biological processes including cell regulation and signalling are mediated
through the assembly of protein complexes. Changes to protein-protein interaction (PPI) …
through the assembly of protein complexes. Changes to protein-protein interaction (PPI) …
Machine learning on protein–protein interaction prediction: models, challenges and trends
Protein–protein interactions (PPIs) carry out the cellular processes of all living organisms.
Experimental methods for PPI detection suffer from high cost and false-positive rate, hence …
Experimental methods for PPI detection suffer from high cost and false-positive rate, hence …
Structural biology and drug discovery of difficult targets: the limits of ligandability
S Surade, TL Blundell - Chemistry & biology, 2012 - cell.com
Over the past decade, researchers in the pharmaceutical industry and academia have made
retrospective analyses of successful drug campaigns in order to establish" rules" to guide …
retrospective analyses of successful drug campaigns in order to establish" rules" to guide …
ProBiS algorithm for detection of structurally similar protein binding sites by local structural alignment
Motivation: Exploitation of locally similar 3D patterns of physicochemical properties on the
surface of a protein for detection of binding sites that may lack sequence and global …
surface of a protein for detection of binding sites that may lack sequence and global …
Current challenges and opportunities in designing protein–protein interaction targeted drugs
It has been noticed that the efficiency of drug development has been decreasing in the past
few decades. To overcome the situation, protein–protein interactions (PPIs) have been …
few decades. To overcome the situation, protein–protein interactions (PPIs) have been …
Survey of local and global biological network alignment: the need to reconcile the two sides of the same coin
Analogous to genomic sequence alignment that allows for across-species transfer of
biological knowledge between conserved sequence regions, biological network alignment …
biological knowledge between conserved sequence regions, biological network alignment …