Results 161 to 170 of about 531,456 (310)

The virtue of innovation: innovation through the lenses of biological evolution. [PDF]

J R Soc Interface, 2015
Kell DB, Lurie-Luke E.
europepmc   +1 more source

A Theory of Pragmatic Information and Its Application to the Quasispecies Model of Biological Evolution

, 2001
Edward D. Weinberger
openalex   +2 more sources

Symbiosis in the Bak–Sneppen model for biological evolution with economic applications [PDF]

, 2005
M. Bartolozzi, Derek B. Leinweber, A. W. Thomas   +2 more
openalex   +1 more source

Inhibitor of DNA binding‐1 is a key regulator of cancer cell vasculogenic mimicry

Molecular Oncology, EarlyView.
Elevated expression of transcriptional regulator inhibitor of DNA binding 1 (ID1) promoted cancer cell‐mediated vasculogenic mimicry (VM) through regulation of pro‐angiogenic and pro‐cancerous genes (e.g. VE‐cadherin (CDH5), TIE2, MMP9, DKK1). Higher ID1 expression also increased metastases to the lung and the liver.
Emma J. Thompson, Emma L. Dorward, Kristyn Jurrius, Nathalie Nataren, Markus Tondl, Kay K. Myo Min, Michaelia P. Cockshell, Anahita Fouladzadeh, John Toubia, Mark DeNichilo, Delphine Merino, Claudine S. Bonder   +11 more
wiley   +1 more source

On quantum effects in a theory of biological evolution. [PDF]

Sci Rep, 2012
Martin-Delgado MA.
europepmc   +1 more source

Beware of Nuts & Bolts: Putting Evolution into the Teaching of Biological Classification [PDF]

, 2005
Martin K. Nickels, Craig E. Nelson
openalex   +1 more source

MET and NF2 alterations confer primary and early resistance to first‐line alectinib treatment in ALK‐positive non‐small‐cell lung cancer

Molecular Oncology, EarlyView.
Alectinib resistance in ALK+ NSCLC depends on treatment sequence and EML4‐ALK variants. Variant 1 exhibited off‐target resistance after first‐line treatment, while variant 3 and later lines favored on‐target mutations. Early resistance involved off‐target alterations, like MET and NF2, while on‐target mutations emerged with prolonged therapy.
Jie Hu, Ning Ding, Xiaobo Xu, Yedan Chen, Yong Zhang, Jingwen Liu, Jiebai Zhou, Hairong Bao, Donghui Zhang, Yijun Song, Yang Shao, Yuanlin Song   +11 more
wiley   +1 more source

color categories in biological evolution: broadening the palette [PDF]

, 2005
Wayne Christensen, Luca Tommasi
openalex   +1 more source

Chemoresistome mapping in individual breast cancer patients unravels diversity in dynamic transcriptional adaptation

Molecular Oncology, EarlyView.
This study used longitudinal transcriptomics and gene‐pattern classification to uncover patient‐specific mechanisms of chemotherapy resistance in breast cancer. Findings reveal preexisting drug‐tolerant states in primary tumors and diverse gene rewiring patterns across patients, converging on a few dysregulated functional modules. Despite receiving the
Maya Dadiani, Gilgi Friedlander, Gili Perry, Nora Balint‐Lahat, Shlomit Gilad, Dana Morzaev‐Sulzbach, Anjana Shenoy, Noa Bossel Ben‐Moshe, Anya Pavlovsky, Rinat Bernstein‐Molho, Eytan Domany, Iris Barshack, Tamar Geiger, Bella Kaufman, Einav Nili Gal‐Yam   +14 more
wiley   +1 more source

Modeling Intelligent Ontology Evolution Using Biological Evolutionary Processes [PDF]

, 2006
Paul O’Brien, Syed Sibte Raza Abidi
openalex   +1 more source