Machine learning predicts new anti-CRISPR proteins

Anti-CRISPRdb: a comprehensive online resource for anti-CRISPR proteins

CRISPR-Cas is a tool that is widely used for gene editing. However, unexpected off-target effects may occur as a result of long-term nuclease activity. Anti-CRISPR proteins, which are powerful molecules that inhibit the CRISPR-Cas system, may have the potential to promote better utilization of the CRISPR-Cas system in gene editing, especially for gene therapy. Additionally, more in-depth resear...

Phages Fight Back: Inactivation of the CRISPR-Cas Bacterial Immune System by Anti-CRISPR Proteins

Phage infection poses a major threat to bacterial survival, and bacteria have evolved many mechanisms to protect against it. One such system is the CRISPR-Cas system, which utilizes sequence memory to protect bacteria from phage infection. CRISPR-Cas is a highly specific adaptive defense mechanism that protects against invasion by all mobile genetic elements, including phages, plasmids, and con...

New Anti - HIV Proteins Identified

The new genomic editing system (CRISPR)

Over the past decades, progression in genetic element manipulation, and consequently, the treatment of diseases has been remarkable. It is worth noting that these genetic manipulations perform at different levels, including DNA and RNA. The earlier genomic editing techniques, including MN, ZFN , TALEN , performing their functions by creating double-stranded breaks (DSBs), and after breakage, th...

Fault Detection of Anti-friction Bearing using Ensemble Machine Learning Methods

Anti-Friction Bearing (AFB) is a very important machine component and its unscheduled failure leads to cause of malfunction in wide range of rotating machinery which results in unexpected downtime and economic loss. In this paper, ensemble machine learning techniques are demonstrated for the detection of different AFB faults. Initially, statistical features were extracted from temporal vibratio...