Used ilib diverse for Windows?


Editors’ Review

Download.com staff
ilib diverse builds virtual drug-like compound libraries with an intuitive heuristic fragment combination approach. It offers advanced features for automated lead structure modification and diverse library creation.
  • Pros

    • Intuitive user interface for easy operation.
    • Generates diverse virtual 3D molecular libraries.
    • Combines user-defined fragments with advanced chemical knowledge.
    • Offers adjustable constraints for combinatorial approaches.
    • Utilizes Monte Carlo techniques for structural diversity.
  • Cons

    • Developer description does not detail specific limitations.

Used ilib diverse for Windows?


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Full Specifications

GENERAL
Release
Latest update
Version
1.02
OPERATING SYSTEMS
Platform
Windows
Operating System
  • Windows 98
  • Windows XP
  • Windows 10
  • Windows 2000
  • Windows 2003
  • Windows NT
Additional Requirements
  • OS: Windows 98, Windows ME, Windows XP or Windows 2000 (WinXP or 2000 recommended), all Linux distributions running glibc 2.2 or higher
  • CPU: PIII 800 Mhz (P4 recommended)
  • Memory: 256 MB RAM (1024MB recommended)
  • Graphics card and drivers: must fully comply to OpenGL or DirectX 9 in order to use the hardware accelerated 3D viewer correctly
  • A valid evaluation license available upon registration at www.inteligand.com
POPULARITY
Total Downloads
297
Downloads Last Week
0

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User Reviews

4/5

1 User Votes


Developer’s Description

generation of virtual 3D molecular libraries

ilib diverse creates virtual drug-like compound libraries using a heuristic fragment combination approach. ilib diverse is intuitive to use, and offers a lot more than the essential features for virtual library generation.

Compounds are built by combining user-defined fragments according to state-of-the-art chemical knowledge. Various user-adjustable contraints allow a combinatorial approach providing good structural diversity on the one hand and fast, automated lead structure modification on the other hand. Monte Carlo techniques guarantee good structural diversity in both cases.


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