Results 71 to 80 of about 1,259,133 (314)

Rapid screening of staphylokinase protein variants using an unpurified cell‐free expression system

FEBS Open Bio, EarlyView.
An unpurified cell‐free protein synthesis (CFPS) platform enables rapid functional screening of staphylokinase variants. Direct plasminogen‐activation assays performed in microplate format provide real‐time activity readouts, allowing rapid identification and ranking of variants with improved or reduced fibrinolytic activity without protein ...
Maria Tomková, Veronika Hovanová, Jiri Damborsky, Erik Sedlák   +3 more
wiley   +1 more source

Introduction to Evolutionary Machine Learning Techniques [PDF]

, 2019
This section first provides an overview of the machine learning field in artificial intelligence (AI). The most well-regarded classes of methods in AI are discussed to show where AI optimization algorithms and machine learning techniques fit in ...
Seyedali Mirjalili, Aljarah, Ibrahim, Faris, Hossam, Hossam Faris, Ibrahim Aljarah, Mirjalili, Seyedali   +5 more
core   +1 more source

Machine Learning [PDF]

, 2009
Machine Learning can be defined in various ways related to a scientific domain concerned with the design and development of theoretical and implementation tools that allow building systems with some Human Like intelligent behavior.

core   +3 more sources

Large‐scale bidirectional arrayed genetic screens identify OXR1 and EMC4 as modifiers of αSynuclein aggregation

FEBS Open Bio, EarlyView.
Activation of the mitochondrial protein OXR1 increases pSyn129 αSynuclein aggregation by lowering ATP levels and altering mitochondrial membrane potential, particularly in response to MSA‐derived fibrils. In contrast, ablation of the ER protein EMC4 enhances autophagic flux and lysosomal clearance, broadly reducing α‐synuclein aggregates.
Sandesh Neupane, Lea Nikolić, Lorenzo Maraio, Thomas Goiran, Nathan Karpilovsky, Stefano Sellitto, Vangelis Bouris, Jiang‐An Yin, Ronald Melki, Edward A Fon, Adriano Aguzzi, Elena De Cecco   +11 more
wiley   +1 more source

OMLT: optimization & machine learning toolkit [PDF]

, 2022
The optimization and machine learning toolkit (OMLT) is an open-source software package incorporating neural network and gradient-boosted tree surrogate models, which have been trained using machine learning, into larger optimization problems. We discuss
Tsay, Calvin, Haddad, Joshua, Thebelt, Alexander, Misener, Ruth, Laird, Carl D, Ceccon, Francesco, Jalving, Jordan   +6 more
core  

DiffScale: Continuous Downscaling and Bias Correction of Subseasonal Wind Speed Forecasts Using Diffusion Models

Journal of Advances in Modeling Earth Systems
Renewable energy generation is highly sensitive to both local and large‐scale atmospheric dynamics. Skillful subseasonal to seasonal (S2S) forecasts—ranging from 2 weeks to two months—can provide substantial socioeconomic benefits for the energy sector ...
Maximilian Springenberg, Noelia Otero, Yuxin Xue, Jackie Ma   +3 more
doaj   +1 more source

Application of Machine Learning and Data Mining Techniques in Diagnosing Diabetes [PDF]

Advances in Engineering and Intelligence Systems
Diabetes is a metabolic disorder characterized by high blood glucose levels and is a major health burden worldwide due to serious complications such as cardiovascular disease and chronic renal failure.
Claire Murray, Ethan Parker, Emilia Mitchell   +2 more
doaj   +1 more source

Why human connection is the true metric of research success

FEBS Open Bio, EarlyView.
Human‐centred mentorship can be shaped by mentor attributes, actions, intrinsic drive and career ambition. Drawing on reflections across Singapore and France, as well as workshop insights from FEBS‐IUBMB ENABLE 2024, this article shows that human‐centred mentorship creates the conditions for sustainable growth, well‐being and retention in research ...
Timothy Lin Yun Tan, Mattias Wei Ren Kon, Xavier Coumoul, Fun Man Fung   +3 more
wiley   +1 more source

Automated Machine Learning [PDF]

, 2019
This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of ...

core   +4 more sources

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source