6 hasil untuk "Azam Sheikh Muhammad"

Machine learning-based investigation of the cancer protein secretory pathway

Rasool Saghaleyni; Azam Sheikh Muhammad; Pramod Bangalore dkk.

PLOS Computational Biology, Vol. 17 No. 4 · 2021 · Inggris · PLOS Scopus

Deregulation of the protein secretory pathway (PSP) is linked to many hallmarks of cancer, such as promoting tissue invasion and modulating cell-cell signaling. The collection of secreted proteins processed by the PSP, known as the secretome, is often studied due to its potential as a reservoir of…

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Production of peptide antibiotics by Bacillus sp. GU 057 indigenously isolated from saline soil

Amin, Adnan; Khan, Muhammad Ayaz; Ehsanullah, Malik dkk.

Braz J Microbiol · 2012 · Inggris · PubMed Central

A total of 112 soil samples were taken from differents areas of district D.I.Khan and Kohat (KPK) Pakistan and screened for production of antibiotics against the Micrococcus luteus and Staphylococcus aureus. Widest zone of inhibition (18mm) was produced by microorganism isolated from saline soil…

Data-driven algorithm for throughput bottleneck analysis of production systems

Mukund Subramaniyan; Anders Skoogh; Hans Salomonsson dkk.

Production and Manufacturing Research: An Open Access Journal, Vol. 6 No. 1 · 2018 · Inggris · DOAJ Scopus

The digital transformation of manufacturing industries is expected to yield increased productivity. Companies collect large volumes of real-time machine data and are seeking new ways to use it in furthering data-driven decision making. A challenge for these companies is identifying throughput…

Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure

Jan Zrimec; Christoph S. Börlin; Filip Buric dkk.

Nature Communications, Vol. 11 No. 1 · 2020 · Inggris · DOAJ Scopus

Regulatory and coding regions of genes are shaped by evolution to control expression levels. Here, the authors use deep learning to identify rules controlling gene expression levels and suggest that all parts of the gene regulatory structure interact in this.

Controlling gene expression with deep generative design of regulatory DNA

Jan Zrimec; Xiaozhi Fu; Azam Sheikh Muhammad dkk.

Nature Communications, Vol. 13 No. 1 · 2022 · Inggris · DOAJ Scopus

Design of de novo synthetic regulatory DNA is a promising avenue to control gene expression in biotechnology and medicine. Here the authors present EspressionGAN, a generative adversarial network that uses genomic and transcriptomic data to generate regulatory sequences.