BOL: Related items

Enzyme Portal

Rahul Agarwal — Tue, 03 Sep 2013 18:06:06 -0500

Enzyme Portal- To look for information about the biology of a protein with enzymatic activity.

The enzyme portal integrates many resources, most of them hosted by EBI and also external ones such as BioPortal. Its main goal is to provide information about enzymes in a suitable format, with a usable interface designed for intended users. Instead of reinventing the wheel, it makes use of available and reliable resources to that end.

Related Literature:

http://nar.oxfordjournals.org/content/41/D1/D773.full

http://www.biomedcentral.com/1471-2105/14/103

Address of the bookmark: http://www.ebi.ac.uk/enzymeportal/

The Minerva Research Group for Bioinformatics

Tue, 27 May 2014 15:48:14 -0500

The focus of the bioinformatics group is to use computational approaches to gain an insight into genome evolution in primates.

http://www.eva.mpg.de/genetics/bioinformatics/overview.html?Fsize=0%2C%20%40%2F%27

Kelso Group
Department of Evolutionary Genetics
Max Planck Institute for Evolutionary Anthropology
Deutscher Platz 6
04103 Leipzig
Germany
Phone: +49 341 3550 500

Job:
http://www.eva.mpg.de/genetics/bioinformatics/jobs.html?Fsize=0%2C%2B%40

MMseqs2.0: ultra fast and sensitive protein search and clustering suite

Jit — Thu, 22 Mar 2018 10:40:51 -0500

MMseqs2 (Many-against-Many sequence searching) is a software suite to search and cluster huge protein sequence sets. MMseqs2 is open source GPL-licensed software implemented in C++ for Linux, MacOS, and (as beta version, via cygwin) Windows. The software is designed to run on multiple cores and servers and exhibits very good scalability. MMseqs2 can run 10000 times faster than BLAST. At 100 times its speed it achieves almost the same sensitivity. It can perform profile searches with the same sensitivity as PSI-BLAST at over 400 times its speed.

The MMseqs2 user guide is available as Github Wiki or as PDF file (Thanks to pandoc!)

Please cite: Steinegger M and Soeding J. MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets. Nature Biotechnology, doi: 10.1038/nbt.3988 (2017).

Address of the bookmark: https://github.com/soedinglab/MMseqs2

FRODOCK 2.0: fast protein–protein docking server

Neel — Wed, 17 Oct 2018 04:31:30 -0500

frodock: a user-friendly protein–protein docking server based on an improved version of FRODOCK that includes a complementary knowledge-based potential. The web interface provides a very effective tool to explore and select protein–protein models and interactively screen them against experimental distance constraints. The competitive success rates and efficiency achieved allow the retrieval of reliable potential protein–protein binding conformations that can be further refined with more computationally demanding strategies.

Address of the bookmark: http://frodock.chaconlab.org/

PPAI: a web server for predicting protein-aptamer interactions

Jit — Fri, 12 Jun 2020 07:26:23 -0500

PPAI can query aptamers and proteins, predict aptamers and predict protein-aptamer interactions in batch mode precisely and efficiently, which would be a novel bioinformatics tool for the research of protein-aptamer interactions. PPAI web-server is freely available at http://39.96.85.9/PPAI

Address of the bookmark: http://39.96.85.9/PPAI/

RCSB PDB Sept'13 Release

Jitendra Narayan — Thu, 05 Sep 2013 15:07:48 -0500

RCSB PDB Sept'13 Release offers following new features:

- New tools to search for drugs and drug targets
- Improved interface for 3D visualisation using Jmol/JSmol
- An update to the representation of protein symmetry and stoichiometry.
- Improvements when performing sequence searches.

Reference

http://www.rcsb.org/pdb/static.do?p=general_information/whats_new.jsp?b=1308

Amino Acid Flash Tutorial

Jit — Mon, 11 Aug 2014 08:58:17 -0500

Protein is a part of every cell in your body, and no other nutrient plays as many different roles in keeping you alive and healthy. Protein is the building block of our body, and amino acids are the main areas of interest. We have emphasized on all 20 amino acids in this documentary movie. This documentary has been developed that emphasize on chemical structure, chemical formula, IUPAC name and other detail information of all 20 amino acids with the voice, picture with interactive button. This will be helpful for the entire biology and bioinformatics student.

How to run?

You need to install flash player or open it with web browser ( I guess you have installed flash plugin) to play.

Comment below if you like it. Thanks

Internship program with ArrayGen Technolgies

Sun, 22 Jun 2014 23:18:31 -0500

Internship Program for Bioinformatics / Biotechnology Professionals Currently we offer positions to outstanding students interested in Next Generation Sequencing (NGS) data analysis. Applications are accepted throughout the year. Accepted students will be listed on web with their schedules. Accepted students can attend our future workshops and trainings freely at the specified venue.

Interested candidates may email their resume along with a cover letter to careers@arraygen.com

Official website: http://www.arraygen.com/

Protein Subcellular Localization Prediction

Poonam Mahapatra — Thu, 01 Mar 2018 06:20:47 -0600

Assigning subcellular localization to a protein is an important step towards elucidating its interaction partners, function, and potential role(s) in the cellular machinery. Computational tools offer an attractive complement to time-consuming and laborious experimental methods.

http://abi.inf.uni-tuebingen.de/Services/YLoc/webloc.cgi

Address of the bookmark: https://abi.inf.uni-tuebingen.de/Research/Systems%20Biology/protein-subcellular-localization

New Release of RefSeq !

Abhi — Tue, 16 Jul 2024 10:09:21 -0500

Check out RefSeq release 225, now available online and from the FTP site. You can access RefSeq data through NCBI Datasets.

What’s included in this release?

As of July 8, 2024, this full release incorporates genomic, transcript, and protein data containing:

448,507,905 records
334,845,613 proteins
63,542,774 RNAs
Sequences from 152,668 organisms

The release is provided in several directories as a complete dataset and also as divided by logical groupings.