The purpose of this page is to describe my academic activities, giving an insight into what I have worked on and/or people I have had the opportunity to work with.

Collaborators

In addition to the people in my current lab(s), I am fortunate to have the following collaborators:

Jump to: Patents | Talks | Publications | Conference Abstracts | Book

Patents

Malik G., Malik G.
Secure multi-level electronic authentication techniques
Ref: 201711022812 (Indian Patent office)
Submitted: Jun 29, 2017
[Indian Patent Office]

Malik G., Dhar P. K.
Method of Data Compression and Decompression
Ref: PCT/IB2016/054294
Submitted: Apr 28, 2016
[google patents] [WIPO]

Malik G., Dhar P. K.
A Biomolecule based Data Storage System
Ref: PCT/IB2015/057964
Submitted: Oct 16, 2015
[google patents] [WIPO]

Talks

Innovation and IP
Nerd Hour talk
Mar 9, 2018
Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children’s Hospital
Columbus, Ohio, USA
[keynote] [pdf]

A Novel technique for the conversion of digital data into DNA sequence (Data to DNA)
Invited Talk. Host: Prashanth Suravajhala, PhD.
Nov 4, 2016
Bioinformatics Center at Birla Institute of Scientific Research
Jaipur, Rajasthan, India
[keynote] [pdf]

Deciphering General Characteristics of Residues constituting Allosteric Communication Paths
Spotlight Presentation
May 17, 2016
The Third International Conference on Mathematical and Computational Medicine
Columbus, Ohio, USA
[keynote] [pdf]

Publications

Ijaq J., Malik G., Kumar A., et al.
A Model to Predict the Function of Hypothetical Proteins through Nine Point Classification Scoring Schema
BMC Bioinformatics
[web] [pdf]

Sundararajan V.S., Malik G., Ijaq J., et al.
HYPO: A database of hypothetical human proteins
Protein & Peptide Letters
[web] [pre-print] [pdf] [pubmed] [server]

Kumar, A., Pandeya, A., Malik, G., et al.
A web resource for nutrient use efficiency-related genes, quantitative trait loci and microRNAs in important ce- reals and model plants
F1000Research
[web] [pre-print] [pdf] [server]

Malik, G., Banerji, A., Kouza, M., Buhimschi, I. A., Kloczkowski, A.
Deciphering general characteristics of residues constituting allosteric communication paths
arXiv
[arXiv:1802.10207]

Conference Abstracts

Malik, G., Kloczkowski, A.
Classification of Allostery in Proteins: A Deep Learning Approach
Biophysical Journal
[web] [pdf]

Kloczkowski, A., Kouza, M., Malik, G., Buhimschi, I., Faraggi, E.
Combining Prediction of Protein Aggregation Propensities with Prediction of Other One-Dimensional Properties
Biophysical Journal
[web] [pdf]

Malik, G., Banerji, A., Kouza, M., Buhimschi, I., Kloczkowski, A
A Deep Learning approach for the prediction of residues constituted in the Allosteric Communication Paths
Protein Science
[web] [e-pdf]

Malik G., Banerji A., Kloczkowski A.
Deciphering General Characteristics of Residues Constituting Allosteric Communication Paths
Biophysical Journal
[web] [pdf]

Kouza M., Malik G., Faraggi E., Kolinski A., Buhimschi I., Kloczkowski A.
Prediction of Protein Aggregation Propensities using GOR Method
Biophysical Journal
[web] [pdf]

Book

Malik G., Shankar S., Bhandari S.
An Enchanting Trail through Wilderness, Insights into the Web of Life
Blurb Inc., San Francisco, CA.
ISBN: 1320132715
[amazon] [publisher] [preview]