Information and communication theory in molecular biology

Hanus, P.; Goebel, Bernhard; Dingel, J.; Weindl, Johanna; Zech, J.; Dawy, Zaher; Hagenauer, J.; Mueller, Jakob C.

doi:10.1007/s00202-007-0062-6

Cited by 14 publications

(9 citation statements)

References 20 publications

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“…If the analytics of the biomedical Big-data system does not intercept the correct spatiotemporal functional activities, it will consider some biological functions that do not exist in a specific metabolic context. Sequence chemical modification encodes for a form of the IDP that performs a precise informational function [44][45][46], so acting as an encoder and transmitter of the biological information. In fact, we can say that the modified polypeptide carries a piece of peculiar biological information merely when it gives actual form to this peculiar function.…”

Section: Structure-function Relationships In the Operative Context Of Modified Idpsmentioning

confidence: 99%

“…Therefore, the view that the conformational ensemble distributions could be random contrasts with the great diversity of the many biological and pathological roles exerted by IDPs. From the point of view of information theory, this means the informational entropy of the modified polypeptide must be reduced, otherwise the biological information cannot be sent through the transmission channel [44][45][46], and the receiver (the interaction partner) cannot get the biological information to make it work. From a structural point of view, this means that the molecular partner can only implement new biological information through the one-to-one recognition of a specific PTM polypeptide.…”

Section: Structure-function Relationships In the Operative Context Of Modified Idpsmentioning

confidence: 99%

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System-Wide Pollution of Biomedical Data: Consequence of the Search for Hub Genes of Hepatocellular Carcinoma Without Spatiotemporal Consideration

Sharma

Colonna

2021

Mol Diagn Ther

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Biomedical institutions rely on data evaluation and are turning into data factories. Big-data storage centers, supercomputing systems, and increased algorithmic efficiency allow us to analyze the ever-increasing amount of data generated every day in biomedical research centers. In network science, the principal intrinsic problem is how to integrate the data and information from different experiments on genes or proteins. Data curation is an essential process in annotating new functional data to known genes or proteins, undertaken by a biobank curator, which is then reflected in the calculated networks. We provide an example of how protein–protein networks today have space-time limits. The next step is the integration of data and information from different biobanks. Omics data and networks are essential parts of this step but also have flawed protocols and errors. Consider data from patients with cancer: from biopsy procedures to experimental tests, to archiving methods and computational algorithms, these are continuously handled so require critical and continuous “updates” to obtain reproducible, reliable, and correct results. We show, as a second example, how all this distorts studies in cellular hepatocellular carcinoma. It is not unlikely that these flawed data have been polluting biobanks for some time before stringent conditions for the veracity of data were implemented in Big data. Therefore, all this could contribute to errors in future medical decisions. Supplementary Information The online version contains supplementary material available at 10.1007/s40291-020-00505-3.

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Section: Structure-function Relationships In the Operative Context Of Modified Idpsmentioning

confidence: 99%

Section: Structure-function Relationships In the Operative Context Of Modified Idpsmentioning

confidence: 99%

System-Wide Pollution of Biomedical Data: Consequence of the Search for Hub Genes of Hepatocellular Carcinoma Without Spatiotemporal Consideration

Sharma

Colonna

2021

Mol Diagn Ther

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“…As explained in [2] and [3], the deoxyribonucleic acid (DNA) as carrier of genetic information consists of two complementary strands of nucleotides, a large number of bases attached to a backbone. Four different values are possible at each locus, coded by the four bases Adenine, Guanine, Cytosine and Thymine.…”

Section: A the Genetic Codementioning

confidence: 99%

Estimating mutual information in genetics

Schmitz

Schmeink

Mathar

2011

2011 8th International Symposium on Wireless Communication Systems

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In gene mapping, the science of finding connections between the genotype and the phenotype, the revealing of complex, nondeterministic connections is an important problem. Tools from information theory, especially the mutual information, have proven to be valuable. This arises the need to estimate the mutual information from a set of samples, and to know the distribution of the estimator. In this work, the established maximum likelihood estimator for the mutual information is examined using simulated data, and it is compared to an approximation. Additionally, another estimator based on preprocessing the data using B-splines is considered, and compared to the conventional estimator and to the well-established chi-square test for independence.

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“…The audience's selective psychology is the main psychological state that the audience presents in the process of communication. Therefore, it is necessary to use selective psychology as a starting point for psychological guidance to the audience of Marxist philosophy (Hanus, Goebel, Dingel et al, 2007;Van Dillen, Enter, Peters et al, 2016). In the structure of this paper, firstly, the present situation and teaching requirement of Marxist philosophy teaching are analyzed; then the model of effective dissemination of selective Marxist philosophy is established in combination with selective theoretical knowledge; finally, the comparative analysis on college students participating in the experiment is carried out through practice teaching experiment to find changes in the attitude of college students on learning Marxist philosophy before and after teaching practice.…”

Section: Since Communication Was Introduced Intomentioning

confidence: 99%

Psychological Guidance Mechanism on the Learning Process of Marxist Philosophy

2020

RACP

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The Chinese government regards Marxist philosophy as the key to the advancement of socialism with Chinese characteristics. This paper aims to disclose the psychological guidance mechanism on the learning process of Marxist philosophy. The learning process was analyzed based on the selective psychology of the audience. The author examined the disseminators, contents and features of the learners of Marxist philosophy in Chinese colleges, and then established an effective communication model of Marxist philosophy. The model was applied to classroom teaching of Marxist philosophy in colleges, and the application results were used to evaluate the selective psychological guidance mechanism. The results show that the selective psychological guidance mechanism effectively improved the popularity of Marist philosophy among the audience by 52.9%. The research findings shed new light on the reform of Marxist philosophy teaching in Chinese colleges.

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Information and communication theory in molecular biology

Cited by 14 publications

References 20 publications

System-Wide Pollution of Biomedical Data: Consequence of the Search for Hub Genes of Hepatocellular Carcinoma Without Spatiotemporal Consideration

System-Wide Pollution of Biomedical Data: Consequence of the Search for Hub Genes of Hepatocellular Carcinoma Without Spatiotemporal Consideration

Estimating mutual information in genetics

Psychological Guidance Mechanism on the Learning Process of Marxist Philosophy

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