Results 81 to 90 of about 217,652 (284)

Evolutionary game theory: molecules as players

Molecular BioSystems, 2014
Abstract In this and an accompanying paper we review the use of game theoretical concepts in cell biology and molecular biology. This review focuses on the subcellular level by considering viruses, genes, and molecules as players. We discuss in which way catalytic RNA can be treated by game theory.
Katrin, Bohl, Sabine, Hummert, Sarah, Werner, David, Basanta, Andreas, Deutsch, Stefan, Schuster, Günter, Theissen, Anja, Schroeter   +7 more
openaire   +3 more sources

Unraveling the Molecular Mechanisms Underlying Spontaneous Multipolar Mitosis Through CIN‐seq

Advanced Science, EarlyView.
Multipolar mitosis, a hallmark of chromosomal instability (CIN), drives tumor heterogeneity but is challenging to study in live cells. Using CIN‐seq, a single‐cell multiomics method, we profiled rare CIN events and identified mechanisms associated with viable multipolar mitosis, including PTEN attenuation, Rho GTPase‐driven cytokinesis failure, and ...
Pin‐Rui Su, Ting‐Chun Chou, Maria Teresa López‐Cascales, Junfeng Huang, Tsai‐Ying Chen, Sjoukje van Wieren, Chan Li, Cecile Beerens, Li You, Jelle Storteboom, Miao‐Ping Chien   +10 more
wiley   +1 more source

Game theory based multi criteria decision making problem under uncertainty: a case study on Indian Tea Industry

Journal of Business Economics and Management, 2018
The long-term evolution of multi agent multi criteria decision making (MCDM) and to obtain sustainable decision a novel methodology is proposed based on evolutionary game theory.
Animesh Debnath, Abhirup Bandyopadhyay, Jagannath Roy, Samarjit Kar   +3 more
doaj   +1 more source

Evolutionary Multiplayer Games

, 2014
Evolutionary game theory has become one of the most diverse and far reaching theories in biology. Applications of this theory range from cell dynamics to social evolution.
Gokhale, Chaitanya S., Traulsen, Arne
core   +1 more source

Towards a richer evolutionary game theory [PDF]

Journal of The Royal Society Interface, 2013
Abstract Most examples of the application of evolutionary game theory to problems in biology involve highly simplified models. I contend that it is time to move on and include much more richness in models. In particular, more thought needs to be given to the importance of (i) between-individual variation; (ii) the interaction between ...
openaire   +3 more sources

DMAP1 Deficiency Suppresses Lung Cancer Progression by Destabilizing Replication Fork and Activating IFN Signaling‐Mediated Anti‐tumor Immunity

Advanced Science, EarlyView.
Lung cancer remains the leading cause of cancer‐related death. We investigated the role of the epigenetic regulator DMAP1 in NSCLC and found that its loss induces replication stress and DNA damage. This in turn activates type I IFN signaling via the cGAS–STING pathway and transcriptional ISG de‐repression, enhancing anti‐tumor immune responses ...
Kan Huang, Xi Dai, Shuaihu Li, Yingxue Chen, Yaxin Yu, Lin Wang, Kun Liu, Shuhan Lyu, Chongyang Li, Yihua Sun, Fei Li   +10 more
wiley   +1 more source

Endoplasmic Reticulum Geometry Dictates Neuronal Bursting via Calcium Store Refill Rates and Exposes Selective Neuronal Vulnerability

Advanced Science, EarlyView.
The ER's continuous tubular network is maintained by ER‐shaping proteins whose mutation or dysregulation contributes to neurodegenerative diseases. Here, we show that ER morphology sets the speed of Ca2+ store replenishment between firing events. Disrupting ER continuity slows intra‐ER Ca2+ redistribution from extracellular refill (SOCE) sites, driving
Valentina Davi, Pierre Parutto, Yuyi Zhang, Tasuku Konno, Cecile Crapart, Raquel Pereira, John P. Franklin, Mosab Ali Awadelkareem, Daniel C Maddison, Michael J. Devine, Edgar R. Gomes, Joseph Chambers, Elena Koslover, Edward Avezov   +13 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

A system dynamics-based model for the evolution of environmental group events

Scientific Reports
Based on the system dynamics theory, this paper establishes an environmental mass event evolution model and explores the evolution law of mass events caused by environmental problems.
Xue-ting Qi, Fanliang Bu
doaj   +1 more source

Coevolution of Artificial Agents Using Evolutionary Computation in Bargaining Game

Advances in Multimedia, 2015
Analysis of bargaining game using evolutionary computation is essential issue in the field of game theory. This paper investigates the interaction and coevolutionary process among heterogeneous artificial agents using evolutionary computation (EC) in the
Sangwook Lee
doaj   +1 more source