Download Here Facebook App FB Chat Messenger for Windows Desktop

Eventhough Facebook chat messenger isn't something new for you, it means that you still could access them with Non-Facebook chat app such as Yahoo messenger, Live Messenger, Adium, and more that support with Facebook chat intergration, but with this launching it is indicated that Facebook really serious to give totally best services for the users.
With this new chat app messeger, it's allowing you to access your Facebook account to chat with your friends without you have to login to www.facebook.com, which it's said by Facebook on Facebook Help Center:

You can chat and messege your friends on Facebook
You are enable to see the latest updated from your friends in ticker
You still can see the notification about what's going on

You can just simply download Facebook FB chat messenger app for you Windows below.

Add-happy-new-year-2012-ballons-widget.

The year of 2011 will be over soon, and We countdown to welcome the year of 2012, to say a Happy New Year 2012 with a new spirit, the new breakthrough for everything to be better, yes we hope so. Then if you are own a Blog that you would like to running the spirit of the new year of 2012 with the widget decoration just to welcome your visitors, so it would be great idea until the time arrives. It is just like we have posted for Christmas decoration in earlier post.

The Happy New year widget you can apply on your Blogspot platform where the images are placed on both the right and left side of the page, you can check out the DEMO.

How to add Happy New Year 2012 Ballons Widget for Blogger Decoration:

1. Login to Blogger

2. Dasboard > Design > Page Elements. Then you click "Add A Gadget"

3. Now you choose "HTML/Java Script"

4. Now copy and paste the code below to widget box

<img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh5eWCus7l-UEcRSlfv2ENAzNxD5nTmznkOIPkHLJDggmFHMip9D_roUoxGx-Gg9Rd38i0Q37QvZcj5bHor6WLKtTD5D-06MpDngaiqvXjZ3wXuz5LzE3WjXvV6r785ifBpQc-yxfHy17k/s1600/Widget2-Happy-New-year-2012.png" style="position:fixed; top: 0px;left:0px;border:none;z-index:5;"/><img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgRaHv2vHU6jbcnBv2-bpJI5b7PX9V1Ey96_PdPmnUcgwtfhtiEvAVhT6sn-kpeNrrLBZd5EUs-hgipAvR82vCtCEz3j6XUeuV0lOl1vqMoMsjHy2dpYHc4JRSnkwjDX22cerMQcEO7sbw/s1600/Widget-Happy-New-year-2012.png" style="position:fixed; top: 0px;right:0px;border:none;z-index:5;"/>

5. Now "Save" the widget, enjoy!

A Kernel for Open Source Drug Discovery in Tropical Diseases

Introduction :

There is a lack of high-quality protein drug targets and drug leads for neglected diseases ,Fortunately, many genomes of organisms that cause tropical diseases have already been sequenced and published. Therefore, we are now in a position to leverage this information by identifying potential protein targets for drug discovery. Atomic-resolution structures can facilitate this task. In the absence of an experimentally determined structure, comparative modeling can provide useful models for sequences that are detectably related to known protein structures , Approximately half of known protein sequences contain domains that can be currently predicted by comparative modeling

Background

Conventional patent-based drug development incentives work badly for the developing world, where commercial markets are usually small to non-existent. For this reason, the past decade has seen extensive experimentation with alternative R&D institutions ranging from private–public partnerships to development prizes. Despite extensive discussion, however, one of the most promising avenues—open source drug discovery—has remained elusive. We argue that the stumbling block has been the absence of a critical mass of preexisting work that volunteers can improve through a series of granular contributions. Historically, open source software collaborations have almost never succeeded without such “kernels”.

Methodology/Principal Findings

Here, we use a computational pipeline for: (i) comparative structure modeling of target proteins, (ii) predicting the localization of ligand binding sites on their surfaces, and (iii) assessing the similarity of the predicted ligands to known drugs. Our kernel currently contains 143 and 297 protein targets from ten pathogen genomes that are predicted to bind a known drug or a molecule similar to a known drug, respectively. The kernel provides a source of potential drug targets and drug candidates around which an online open source community can nucleate. Using NMR spectroscopy, we have experimentally tested our predictions for two of these targets, confirming one and invalidating the other.

Futher Details - Source: http://www.tropicaldisease.org