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What is Peripass?

Peripass is a yard management platform that digitizes and automates truck, driver, dock, and site workflows from arrival to departure. The system allows drivers to complete self-service registration in their preferred language and specify the purpose of their visit without relying on manual assistance from yard personnel. This can simplify communication around safety instructions, required documentation, loading procedures, and other site-specific requirements. Peripass provides a real-time dispatching dashboard that functions as a digital twin of the yard and displays the status and location of trucks, trailers, containers, parking spaces, and docks. Dispatch teams can use this visibility to assign vehicles to appropriate locations while reducing the need for employees to walk through active truck areas. A Business Rules Engine supports automatic dispatching by assigning docks or other destinations when predefined conditions are met. The platform also supports digital task management for weighing, loading, unloading, and related activities that would otherwise rely on paperwork or multiple disconnected systems. Operational data is captured throughout each vehicle visit, including check-in time, gate entry, docking time, temperature during docking, and final departure. These records can help improve security, resolve disputed incidents, identify unauthorized or problematic visitors, and maintain an accurate log of people on site during emergencies. By combining self-service registration, workflow automation, live yard visibility, and historical tracking, Peripass helps logistics teams improve throughput while focusing staff attention on exceptions rather than routine movements. Peripass is designed for industrial sites, warehouses, distribution centers, manufacturers, and logistics operators that need more efficient, safer, and more visible yard operations.

What is AutoDock?

AutoDock is a suite of automated docking tools designed to predict how small molecules, such as potential drugs or substrates, bind with receptors that possess a known three-dimensional structure. Over the years, this toolkit has seen numerous upgrades and improvements that have led to the creation of multiple docking engines. Presently, AutoDock features two main versions: AutoDock 4 and AutoDock Vina. A recent innovation, AutoDock-GPU, has been launched, significantly speeding up the docking processes of AutoDock 4 to rates that are several hundred times faster than the original single-CPU version. At its core, AutoDock 4 consists of two fundamental applications: autodock, which manages the docking of ligands to a grid representation of the target protein, and autogrid, which pre-calculates these grids. In addition to their primary role in docking, the atomic affinity grids produced can be visualized, offering essential insights that may aid organic synthetic chemists in designing more effective binders for their research endeavors. This visual capability not only enhances the understanding of binding interactions but also fosters a more seamless integration between computational models and tangible results in the realm of drug development.

Media

Media

Integrations Supported

Integrations Supported

YouMi

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Mac

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Peripass

Company Location

Belgium

Company Website

www.peripass.com

Company Facts

Organization Name

AutoDock

Company Website

autodock.scripps.edu/

Categories and Features

Access Control

Not specified

Dock Scheduling

Not specified

Logistics

Not specified

Visitor Management

Not specified

Yard Management

Not specified

Categories and Features

Drug Discovery

Not specified

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