Thermozymes: adaptive strategies and tools for their biotechnological applications
In today's scenario of global climate change, there is a colossal demand for sustainable
industrial processes and enzymes from thermophiles. Plausibly, thermozymes are an …
industrial processes and enzymes from thermophiles. Plausibly, thermozymes are an …
Thermostable cellulases: Structure, catalytic mechanisms, directed evolution and industrial implementations
From an anthropocentric point of view, human culture has been intricately involved in
harnessing the potential of lignocellulosic feedstock to bring the bio-competitive alternative …
harnessing the potential of lignocellulosic feedstock to bring the bio-competitive alternative …
Machine learning: a suitable method for biocatalysis
PS Sampaio, P Fernandes - Catalysts, 2023 - mdpi.com
Biocatalysis is currently a workhorse used to produce a wide array of compounds, from bulk
to fine chemicals, in a green and sustainable manner. The success of biocatalysis is largely …
to fine chemicals, in a green and sustainable manner. The success of biocatalysis is largely …
Unravelling and Quantifying the Biophysical–Biochemical Descriptors Governing Protein Thermostability by Machine Learning
S Kumar, VK Duggineni, V Singhania… - Advanced Theory …, 2023 - Wiley Online Library
Abstract Analysis of protein thermostability is vital in protein science to aid the understanding
of evolutionary aspects of organic life as well as in protein engineering for modern day …
of evolutionary aspects of organic life as well as in protein engineering for modern day …
Proposing a model for predicting diabetes patients by neural network.
Introduction: Meta-heuristic and combined algorithms have a great capability in modelling
medical decision making. This study used neural networks in order to predict Type 2 …
medical decision making. This study used neural networks in order to predict Type 2 …
Developing a new hybrid intelligent approach for prediction online news popularity
This study aims to predict the amount of attention news articles ultimately receive using data
mining technology. As well known, useful knowledge in Online Social Networking Services …
mining technology. As well known, useful knowledge in Online Social Networking Services …
[PDF][PDF] Machine Learning: A Suitable Method for Biocatalysis. Catalysts 2023, 13, 961
PS Sampaio, P Fernandes - 2023 - researchgate.net
Biocatalysis is currently a workhorse used to produce a wide array of compounds, from bulk
to fine chemicals, in a green and sustainable manner. The success of biocatalysis is largely …
to fine chemicals, in a green and sustainable manner. The success of biocatalysis is largely …
An analysis of gene expression variations in lymphoma, using a fuzzy classification model
Z Roozbahani, J Rezaei Noor, M Yari Eili… - … & Information Science, 2017 - jhmi.sums.ac.ir
Introduction: Cancer is a major cause of mortality in the modern world, and one of the most
important health problems in societies. During recent years, research on cancer as a system …
important health problems in societies. During recent years, research on cancer as a system …
ارائه مدلی جهت پیش بینی بیماري دیابت با استفاده از شبکه عصبی
جهانی, رضایی نور, جلال, مهدوی… - Journal of Health …, 2017 - search.ebscohost.com
Introduction: Meta-heuristic and combined algorithms have a great capability in modelling
medical decision making. This study used neural networks in order to predict Type 2 …
medical decision making. This study used neural networks in order to predict Type 2 …