Integrative omics approaches for biosynthetic pathway discovery in plants
Covering: up to 2022 With the emergence of large amounts of omics data, computational
approaches for the identification of plant natural product biosynthetic pathways and their …
approaches for the identification of plant natural product biosynthetic pathways and their …
Designing artificial synthetic promoters for accurate, smart, and versatile gene expression in plants
E Yasmeen, J Wang, M Riaz, L Zhang, K Zuo - Plant Communications, 2023 - cell.com
With the development of high-throughput biology techniques and artificial intelligence, it has
become increasingly feasible to design and construct artificial biological parts, modules …
become increasingly feasible to design and construct artificial biological parts, modules …
Machine learning for plant stress modeling: A perspective towards hormesis management
Plant stress is one of the most significant factors affecting plant fitness and, consequently,
food production. However, plant stress may also be profitable since it behaves hormetically; …
food production. However, plant stress may also be profitable since it behaves hormetically; …
GRAND: a database of gene regulatory network models across human conditions
M Ben Guebila, CM Lopes-Ramos… - Nucleic Acids …, 2022 - academic.oup.com
Gene regulation plays a fundamental role in shaping tissue identity, function, and response
to perturbation. Regulatory processes are controlled by complex networks of interacting …
to perturbation. Regulatory processes are controlled by complex networks of interacting …
Using interactome big data to crack genetic mysteries and enhance future crop breeding
The functional genes underlying phenotypic variation and their interactions represent"
genetic mysteries". Understanding and utilizing these genetic mysteries are key solutions for …
genetic mysteries". Understanding and utilizing these genetic mysteries are key solutions for …
Predicting and optimizing reactive oxygen species metabolism in Punica granatum L. through machine learning: role of exogenous GABA on antioxidant enzyme …
S Zarbakhsh, AR Shahsavar, A Afaghi… - BMC Plant …, 2024 - Springer
Background Drought and salinity stress have been proposed as the main environmental
factors threatening food security, as they adversely affect crops' agricultural productivity. As a …
factors threatening food security, as they adversely affect crops' agricultural productivity. As a …
Using single cell atlas data to reconstruct regulatory networks
Inference of global gene regulatory networks from omics data is a long-term goal of systems
biology. Most methods developed for inferring transcription factor (TF)–gene interactions …
biology. Most methods developed for inferring transcription factor (TF)–gene interactions …
Time-based systems biology approaches to capture and model dynamic gene regulatory networks
All aspects of transcription and its regulation involve dynamic events. However, capturing
these dynamic events in gene regulatory networks (GRNs) offers both a promise and a …
these dynamic events in gene regulatory networks (GRNs) offers both a promise and a …
Exploiting genomic features to improve the prediction of transcription factor-binding sites in plants
The identification of transcription factor (TF) target genes is central in biology. A popular
approach is based on the location by pattern matching of potential cis-regulatory elements …
approach is based on the location by pattern matching of potential cis-regulatory elements …
Biocuration of a Transcription Factors Network Involved in Submergence Tolerance during Seed Germination and Coleoptile Elongation in Rice (Oryza sativa)
Modeling biological processes and genetic-regulatory networks using in silico approaches
provides a valuable framework for understanding how genes and associated allelic and …
provides a valuable framework for understanding how genes and associated allelic and …