scholarly journals Enzyme catalysis prior to aromatic residues: Reverse engineering of a dephospho‐CoA kinase

2021 ◽  
Vol 30 (5) ◽  
pp. 1022-1034
Author(s):  
Mikhail Makarov ◽  
Jingwei Meng ◽  
Vyacheslav Tretyachenko ◽  
Pavel Srb ◽  
Anna Březinová ◽  
...  
2008 ◽  
Vol 45 ◽  
pp. 161-176 ◽  
Author(s):  
Eduardo D. Sontag

This paper discusses a theoretical method for the “reverse engineering” of networks based solely on steady-state (and quasi-steady-state) data.


2004 ◽  
Vol 62 (12) ◽  
pp. 1057-1063
Author(s):  
A. V. Agranovskiy ◽  
R. E. Agafonov ◽  
R. A. Khadi

Author(s):  
Jeremiah Vanderlaan ◽  
Josh Richert ◽  
James Morrison ◽  
Thomas Doyle

We are a group of engineering students, in our first year of undergraduate study. We have been selected from one thousand first year students and have competed and won the PACE competition. All engineers share a common general first year, but we have been accepted into Civil and Mechanical engineering. This project was assigned as the final project in the Design and Graphics course. The project we are tasked with, called the Cornerstone Design Project, is to first dissect a product, discover how it works, dimension each part and create a fully assembled model using CAD software (Solid Edge V20 in our case). As part of discovering how it works we must benchmark it so the device can be compared with competing products. The goal of the project is to develop a full understanding of part modeling and assembly in Solid Edge, learn proper measurement techniques, and learn the process of reverse engineering and product dissection. All of these tasks were stepping stones to help us fully understand how the device, and all its components, work.


Author(s):  
Johnatan Highlander Câmara Pereira ◽  
Yale Santos ◽  
Nícolas M. F. T. S. Araújo

Author(s):  
Raditya Faisal Waliulu ◽  
Teguh Hidayat Iskandar Alam

At this paper focus on Malicous Software also known as Malware APT1 (Advance Persistent Threat) codename WEBC2-DIV the most variants malware has criteria consists of Virus, Worm, Trojan, Adware, Spyware, Backdoor either Rootkit. Although, malware could avoidance scanning antivirus but reverse engineering could be know how dangerous malware infect computer client. Lately, malware attack as a form espionage (cyberwar) one of the most topic on security internet, because of has massive impact. Forensic malware becomes indicator successfull user to realized about malware infect. This research about reverse engineering. A few steps there are scanning, suspected packet in network and analysis of malware behavior and dissambler body malware.Keyword : forensic malware, Analysis, Advance Presistent Threat, Cyberwar, dissambler


2010 ◽  
Vol 105 (6) ◽  
pp. 606-610
Author(s):  
Christine Schöne ◽  
Ralph Stelzer ◽  
Dietmar Süße ◽  
Ulf Schmidt
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document