Akira Funahashi

About Akira Funahashi

Akira Funahashi, With an exceptional h-index of 27 and a recent h-index of 17 (since 2020), a distinguished researcher at Keio University, specializes in the field of Systems Biology, Quantitative Biology, Computational Biology, Parallel Processing, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Drug-target identification in COVID-19 disease mechanisms using computational systems biology approaches

Switching from weak to strong cortical attachment of microtubules accounts for the transition from nuclear centration to spindle elongation in metazoans

Mol-PECO: a deep learning model to predict human olfactory perception from molecular structures

SBML level 3 package: spatial processes, version 1, release 1

Titanium Culture Vessel Presenting Temperature Gradation for the Thermotolerance Estimation of Cells

Symbolic integration by integrating learning models with different strengths and weaknesses

Intercellular interaction mechanisms promote diversity in intracellular ATP concentration in Escherichia coli populations

BioSimulators: a central registry of simulation engines and services for recommending specific tools

Akira Funahashi Information

University

Position

Associate Professor of Systems Biology

Citations(all)

6715

Citations(since 2020)

1988

Cited By

5529

hIndex(all)

27

hIndex(since 2020)

17

i10Index(all)

47

i10Index(since 2020)

27

Email

University Profile Page

Google Scholar

Akira Funahashi Skills & Research Interests

Systems Biology

Quantitative Biology

Computational Biology

Parallel Processing

Machine Learning

Top articles of Akira Funahashi

Title

Journal

Author(s)

Publication Date

Drug-target identification in COVID-19 disease mechanisms using computational systems biology approaches

Frontiers in Immunology

Anna Niarakis

Marek Ostaszewski

Alexander Mazein

Martina Kutmon

Marc E Gillespie

...

2024/2/13

Switching from weak to strong cortical attachment of microtubules accounts for the transition from nuclear centration to spindle elongation in metazoans

Heliyon

Shohei Tada

Yoshitaka Yamazaki

Kazunori Yamamoto

Ken Fujii

Takahiro G Yamada

...

2024/2/5

Mol-PECO: a deep learning model to predict human olfactory perception from molecular structures

arXiv preprint arXiv:2305.12424

Mengji Zhang

Yusuke Hiki

Akira Funahashi

Tetsuya J Kobayashi

2023/5/21

SBML level 3 package: spatial processes, version 1, release 1

Journal of Integrative Bioinformatics

James C Schaff

Anuradha Lakshminarayana

Robert F Murphy

Frank T Bergmann

Akira Funahashi

...

2023/3/31

Titanium Culture Vessel Presenting Temperature Gradation for the Thermotolerance Estimation of Cells

Cyborg and Bionic Systems

Chikahiro Imashiro

Yangyan Jin

Motoaki Hayama

Takahiro G Yamada

Akira Funahashi

...

2023/8/7

Symbolic integration by integrating learning models with different strengths and weaknesses

IEEE Access

Hazumi Kubota

Yuta Tokuoka

Takahiro G Yamada

Akira Funahashi

2022/4/29

Intercellular interaction mechanisms promote diversity in intracellular ATP concentration in Escherichia coli populations

Scientific Reports

Ryo J. Nakatani

Masahiro Itabashi

Takahiro G. Yamada

Noriko F. Hiroi

Akira Funahashi.

2022/10/26

BioSimulators: a central registry of simulation engines and services for recommending specific tools

Nucleic acids research

Bilal Shaikh

Lucian P Smith

Dan Vasilescu

Gnaneswara Marupilla

Michael Wilson

...

2022/7/5

数でとらえる生物学 [塾内限定]

Akira Funahashi

2022/6/7

A versatile and interoperable computational framework for the analysis and modeling of COVID-19 disease mechanisms

bioRxiv

Anna Niarakis

Marek Ostaszewski

Alexander Mazein

Inna Kuperstein

Martina Kutmon

...

2022/12/19

High quality genome assembly of the anhydrobiotic midge provides insights on a single chromosome-based emergence of extreme desiccation tolerance

NAR Genomics and Bioinformatics

Yuki Yoshida

Nurislam Shaikhutdinov

Olga Kozlova

Masayoshi Itoh

Michihira Tagami

...

2022/6/1

Development of non-bias phenotypic drug screening for cardiomyocyte hypertrophy by image segmentation using deep learning

Biochemical and Biophysical Research Communications

Jin Komuro

Yuta Tokuoka

Tomohisa Seki

Dai Kusumoto

Hisayuki Hashimoto

...

2022/12/3

Temperature elevation detection in migrating cells

Optics Continuum

Takayuki Nakamura

Joe Sakamoto

Kohki Okabe

Atsushi Taniguchi

Takahiro G. Yamada

...

2022/5/3

An explainable deep learning-based algorithm with an attention mechanism for predicting the live birth potential of mouse embryos

Artificial Intelligence in Medicine

Yuta Tokuoka

Takahiro G Yamada

Daisuke Mashiko

Zenki Ikeda

Tetsuya J Kobayashi

...

2022/12/1

Deep learning-based algorithm for predicting the live birth potential of mouse embryos

bioRxiv

Yuta Tokuoka

Takahiro G Yamada

Daisuke Mashiko

Zenki Ikeda

Tetsuya J Kobayashi

...

2021/8/19

Genome-wide role of HSF1 in transcriptional regulation of desiccation tolerance in the anhydrobiotic cell line, Pv11

International journal of molecular sciences

Shoko Tokumoto

Yugo Miyata

Ruslan Deviatiiarov

Takahiro G Yamada

Yusuke Hiki

...

2021/5/28

Sbmlwebapp: Web-based simulation, steady-state analysis, and parameter estimation of systems biology models

Processes

Takahiro G Yamada

Kaito Ii

Matthias König

Martina Feierabend

Andreas Dräger

...

2021/10/15

Electrical Field Chamber with Dinamically Adaptable Stimuli for Myocyte Orientation During Cultivation

Sergio R Molina Ramirez

Takahiro Yamada

Akira Funahashi

Hiroaki Onoe

2021/1/25

Cas9-mediated genome editing reveals a significant contribution of calcium signaling pathways to anhydrobiosis in Pv11 cells

Scientific reports

Yugo Miyata

Hiroto Fuse

Shoko Tokumoto

Yusuke Hiki

Ruslan Deviatiiarov

...

2021/10/5

COVID19 Disease Map, a computational knowledge repository of virus–host interaction mechanisms

Molecular systems biology

Marek Ostaszewski

Anna Niarakis

Alexander Mazein

Inna Kuperstein

Robert Phair

...

2021/10

See List of Professors in Akira Funahashi University(Keio University)

Co-Authors

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