---
title: 'Install ConfID: Conformational Identifier on Linux | Snap Store'
description: 'Get the latest version of ConfID: Conformational Identifier for Linux
  - Analytical method for conformational characterization using molecular dynamics'
url: https://snapcraft.io/confid
---

# ConfID: Conformational Identifier (confid)

[Bruno Iochins Grisci (bigrisci)](https://snapcraft.io/publisher/bigrisci "View all snaps from Bruno Iochins Grisci (bigrisci)")

* [Bruno Iochins Grisci (bigrisci)](https://snapcraft.io/publisher/bigrisci "View all snaps from Bruno Iochins Grisci (bigrisci)")
* [Education](https://snapcraft.io/search?categories=education)
* [Science](https://snapcraft.io/search?categories=science)

latest/stable 1.2.1

Install latest/stable of ConfID: Conformational Identifier

This channel hasn't been updated in a while. It might be unmaintained and have stability or security issues.

---

**Install using the command line**

```
sudo snap install confid
```

Don't have snapd? [Get set up for snaps](https://snapcraft.io/docs/installing-snapd).

---

### Package name

* confid

---

### License

* LGPL-3.0

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### Last updated

* 20 December 2020 - latest/stable
* 27 October 2019 - latest/edge

This snap hasn't been updated in a while. It might be unmaintained and have stability or security issues.

---

### Websites

* [sbcb.inf.ufrgs.br](http://sbcb.inf.ufrgs.br/confid "http://sbcb.inf.ufrgs.br/confid")

---

### Contact

* [bigrisci@inf.ufrgs.br](mailto:bigrisci@inf.ufrgs.br "mailto:bigrisci@inf.ufrgs.br")

---

##### Report a Snap Store violation

* [Report this Snap](https://snapcraft.io/confid#report-snap-modal)

---

* [Description](https://snapcraft.io/confid#tab-description)
* [Security](https://snapcraft.io/confid#tab-security)

#### Analytical method for conformational characterization using molecular dynamics

Conformational generation is a recurrent challenge in early phases of drug design, mostly due to the task of making sense between the number of conformers generated and their relevance for biological purposes.
In this sense, ConfID, a Python-based computational tool, was designed to identify and characterize conformational populations of drug-like molecules sampled through molecular dynamics simulations.
By using molecular dynamics (MD) simulations (and assuming accurate parameters are used), ConfID can identify all conformational populations sampled in the presence of solvent and quantify their relative abundance, while harnessing the benefits of MD and calculating time-dependent properties of each conformational population identified.
To read a complete ConfID documentation and tutorials, access: <https://github.com/sbcblab/confid>

---

## Install ConfID: Conformational Identifier on your Linux distribution

Choose your Linux distribution to get detailed installation instructions. If yours is not shown, get more details on the [installing snapd documentation](https://snapcraft.io/docs/installing-snapd).

[### Arch Linux](https://snapcraft.io/install/confid/arch)

[### CentOS](https://snapcraft.io/install/confid/centos)

[### Debian](https://snapcraft.io/install/confid/debian)

[### elementary OS](https://snapcraft.io/install/confid/elementary)

[### Fedora](https://snapcraft.io/install/confid/fedora)

[### KDE Neon](https://snapcraft.io/install/confid/kde-neon)

[### Kubuntu](https://snapcraft.io/install/confid/kubuntu)

[### Manjaro](https://snapcraft.io/install/confid/manjaro)

[### Pop!\_OS](https://snapcraft.io/install/confid/pop)

[### openSUSE](https://snapcraft.io/install/confid/opensuse)

[### Red Hat Enterprise Linux](https://snapcraft.io/install/confid/rhel)

[### Ubuntu](https://snapcraft.io/install/confid/ubuntu)
