23 papers · ranked by Valyu relevance
Miao He, Xiaoming John Zhang, Krzysztof Malarz
We propose two analytical relationships between affinity and opinion change. The first one focuses on value homophily, while the second one incorporates affinity in opinion dynamics. Three analytical test models are derived based on these relationships: the value homophily model, the temporal evolution of opinion…
Keyu Xu, Zeyuan Di, Jianquan Zhao, Haicang Zhang + 1 more
Proteins are essential biological macromolecules that play a crucial role in living organisms. Protein-protein interactions, which govern various biological processes such as signal transduction, cell metabolism, and cell growth, are key aspect of protein function. The strength of these interactions, characterized by…
Javier Fumanal Idocin, Óscar Cordón, María Minárová, Amparo Alonso Betanzos + 1 more
'Amparo Alonso Betanzos' 'Humberto Bustince'] Social network analysis is a popular discipline among the social and behavioural sciences, in which the relationships between different social entities are modelled as a network. One of the most popular problems in social network analysis is finding communities in its…
Jean Marie Tshimula, Belkacem Chikhaoui, Shengrui Wang
Psychology research findings suggest that personality is related to differences in friendship characteristics and that some personality traits correlate with linguistic behavior. In this paper, we investigate the influence that personality may have on affinity formation. To this end, we derive affinity relationships…
Xiakun Chu, Jin Wang, Dennis R. Livesay
Flexibility in biomolecular recognition is essential and critical for many cellular activities. Flexible recognition often leads to moderate affinity but high specificity, in contradiction with the conventional wisdom that high affinity and high specificity are coupled. Furthermore, quantitative understanding of the…
Ye Yuan, Qushuo Chen, Jun Mao, Guipeng Li + 1 more
Background Antibody-mediated immune responses play a crucial role in the immune defense of human body. The evolution of bioengineering has led the progress of antibody-derived drugs, showing promising efficacy in cancer and autoimmune disease therapy. A critical step of this development process is obtaining the…
Nedra Mekni, Hosein Fooladi, Ugo Perricone, Thierry Langer
Machine learning models are employed to enhance the speed and provide novel insights in drug discovery due to their demonstrated effectiveness in predicting properties of small molecules like pKa, solubility, and binding affinity. These approaches accelerate drug discovery by helping researchers efficiently identify…
Renhua Huang, Kevin T. Gorman, Chris R. Vinci, Elena Dobrovetsky + 3 more
'Susanne Gräslund' 'Brian K. Kay' 'Qiang “Shawn” Chen'] Often when generating recombinant affinity reagents to a target, one singles out an individual binder, constructs a secondary library of variants, and affinity selects a tighter or more specific binder. To enhance the throughput of this general approach, we have…
Md. Aktar Hossain, Saima Sultana
In silico analysis is a powerful technique to identify better therapeutic interventions. Molecular docking is widely used to screen ligands through analysing binding affinities for target receptors. In this study we screened ligands for two proteins which are potential drug targets: deoxyuridine triphosphate…
Authors not listed
Site-specific modifications of native-sequence proteins are technologies that underpin progresses in chemical biology, diagnostics and next-generation biotherapeutics. However, the pursuit of site-specificity has often come at the expense of scalability and usability, ultimately limiting translational potential of a…
Javier Fumanal-Idocin, Amparo Alonso‐Betanzos, Óscar Cordón, Humberto Bustince + 1 more
'Humberto Bustince' 'María Minárová'] In this contribution we study social network modelling by using human interaction as a basis. To do so, we propose a new set of functions, affinities, designed to capture the nature of the local interactions among each pair of actors in a network. By using these functions, we…
Zachary J. Gale-Day, Laura Shub, Kangway V. Chuang, Michael J. Keiser
Message-passing neural networks (MPNNs) on molecular graphs generate continuous and differentiable encodings of small molecules with state-of-the-art performance on protein-ligand complex scoring tasks. Here, we describe the Protein-Graph Network (PGN) package, an open-source toolkit that constructs ligand-receptor…
Philip S. Chodrow, Nate Veldt, Austin R. Benson
Novel clustering techniques enable the detection of modules in large datasets with multiway interactions.
Nate Veldt, Austin R. Benson, Jon Kleinberg
Homophily is the seemingly ubiquitous tendency for people to connect and interact with other individuals who are similar to them. This is a well-documented principle and is fundamental for how society organizes. Although many social interactions occur in groups, homophily has traditionally been measured using a graph…
Justin A. Eichel, Alexander Wong, Paul Fieguth, David A. Clausi + 1 more
'Jesus Gomez-Gardenes'] Spectral clustering methods have been shown to be effective for image segmentation. Unfortunately, the presence of image noise as well as textural characteristics can have a significant negative effect on the segmentation performance. To accommodate for image noise and textural characteristics…
Sankalp Garud, Miruna Rascu, Sorcha Hamilton, Ingrid Yu + 2 more
Humans start new friendships and social connections throughout their lives and such relationships foster mental and physical well-being. While friendship initiation may depend on alignment of subtle and complex personal variables, here we investigated whether it also depends on basic features of social environments.…
Authors not listed
Genetically encoded covalent warheads at the protein-protein interface, enable the locking of interaction from the transient complex into a stable covalent adduct, which could improve the binding affinity, selectivity, and kinetics between a protein binder and its target. Given the diverse chemical microenvironments…
B.A. Beisner, B. McCowan, M.A. Bloomsmith, L. Lacefield + 1 more
A major challenge in managing captive-bred rhesus macaque social groups is mitigating deleterious aggression before it escalates to social instability. Prior work at the California National Primate Research Center (CNPRC) showed that fragmentation of matrilineal structure—reflected in lower average kinship among female…
Hiroki Koda, Zin Arai, Ikki Matsuda
Understanding social organization is fundamental for the analysis of animal societies. In this study, animal single-file movement data—serialized order movements generated by simple bottom-up rules of collective movements— are informative and effective observations for the reconstruction of animal social structures…
Tom A. B. Snijders, Alessandro Lomi
We consider the specification of effects of numerical actor attributes, measured according to an interval level of measurement, in statistical models for directed social networks. A fundamental mechanism is homophily or assortativity, where actors have a higher likelihood to be tied with others having similar values of…
Andrea Bamberg Migliano, Abigail Page, Jesus Gómez-Gardeñes, Sylvain Viguier + 9 more
Are interactions with unrelated and even unknown individuals a by-product of modern life in megacities? Here we argue instead that social ties among non-kin are a crucial human adaptation. By deploying a new portable wireless sensing technology (motes), we mapped social networks in Agta and BaYaka hunter-gatherers in…
William L. Hamilton, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky + 1 more
'Dan Jurafsky' 'Jure Leskovec'] Loyalty is an essential component of multi-community engagement. When users have the choice to engage with a variety of different communities, they often become loyal to just one, focusing on that community at the expense of others. However, it is unclear how loyalty is manifested in…
Federico Musciotto, Danai Papageorgiou, Federico Battiston, Damien R. Farine
Revealing the consequences of social structure in animal societies is largely determined by our ability to accurately estimate functionally relevant patterns of social contact among individuals. To date, studies have predominantly built up social structure from dyadic connections. However, many associations or…