Motivation: Template-based prediction of DNA binding proteins requires not only structural
similarity between target and template structures but also prediction of binding affinity …

The interaction between DNA and proteins comprises a pivotal role in almost every cellular
process, including gene regulation and DNA replication. Given a protein, it is very important …

DNA-binding proteins perform vital functions related to transcription, repair and replication.
We have developed a new sequence-based machine learning protocol to identify DNA …

Interactions between deoxyribonucleic acid (DNA) and proteins are central to living systems,
and characterizing how and when they occur would greatly enhance our understanding of …

Colloidal dispersions of polyelectrolyte complexes were prepared in aqueous solutions. We
have used mixtures containing the strongly charged anionic polyelectrolyte sodium …

The mechanism of complex formation of two oppositely charged linear polyelectrolytes
dispersed in a solvent is investigated by using dissipative particle dynamics (DPD) …

Discovering new biological knowledge from the high-throughput biological data is a major
challenge to bioinformatics today. To address this challenge, we developed a new approach …

Background In supervised learning, traditional approaches to building a classifier use two
sets of examples with pre-defined classes along with a learning algorithm. The main …

malibu is an open-source machine learning work-bench developed in C/C++ for high-
performance real-world applications, namely bioinformatics and medical informatics. It …

Background Efficient and accurate prediction of protein function from sequence is one of the
standing problems in Biology. The generalised use of sequence alignments for inferring …