Personal information

Emails & domains

Verified email domains

Websites & social links

https://github.com/iamysk

Other IDs

Scopus Author ID: 57216790900
SciProfiles: 1612694

Keywords

Computational Biology, Protein structure, Machine learning

Countries

Sweden, India

Activities

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Employment (1)

Linköpings universitet: Linkoping, Östergötland, SE

Engineer/PostDoc (IFM)
Employment
Source: Self-asserted source
YOGESH KALAKOTI

Education and qualifications (3)

Indian Institute of Technology Delhi: New Delhi, Delhi, IN

2019-01-01 to present | Ph.D. Computational Biology (Biochemical Engineering and Biotechnology)
Education
Source: Self-asserted source
YOGESH KALAKOTI

Indian Institute of Technology Delhi: New Delhi, Delhi, IN

2018-07-21 to 2019-01-01 | MS Computational biology (Biochemical Engineering and Biotechnology)
Education
Source: Self-asserted source
YOGESH KALAKOTI

Govind Ballabh Pant University of Agriculture & Technology: Pantnagar, Uttarakhand, IN

2014-07-21 to 2018-05-21 | B.Tech. in Biotechnology (Molecular Biology and genetic engineering)
Education
Source: Self-asserted source
YOGESH KALAKOTI

Funding (1)

Wenner-Gren Postdoctoral Fellowship

Grant
Wenner-Gren Foundations (Stockholm, SE)
Source: Self-asserted source
YOGESH KALAKOTI

Works (11)

Prediction of structural variation

Current Opinion in Structural Biology
2025-04 | Journal article
DOI: 10.1016/j.sbi.2025.103003
Contributors: Yogesh Kalakoti; Airy Sanjeev; Björn Wallner
Source: check_circle
Crossref

AFsample2 predicts multiple conformations and ensembles with AlphaFold2

Communications Biology
2025-03-05 | Journal article
DOI: 10.1038/s42003-025-07791-9
Contributors: Yogesh Kalakoti; Björn Wallner
Source: check_circle
Crossref

AFsample2: Predicting multiple conformations and ensembles with AlphaFold2

2024-06-02 | Preprint
DOI: 10.1101/2024.05.28.596195
Contributors: Yogesh Kalakoti; Björn Wallner
Source: check_circle
Crossref

Computational Methods and Deep Learning for Elucidating Protein Interaction Networks

Methods in Molecular Biology
2023 | Book
DOI: 10.1007/978-1-0716-2617-7_15
EID:

2-s2.0-85140144679
Contributors: Vora, D.S.; Kalakoti, Y.; Sundar, D.
Source: Self-asserted source
YOGESH KALAKOTI via Scopus - Elsevier

Modulation of DNA-protein Interactions by Proximal Genetic Elements as Uncovered by Interpretable Deep Learning; Deep learning to probe DNA-protein interactions

Journal of Molecular Biology
2023 | Journal article
DOI: 10.1016/j.jmb.2023.168121
EID:

2-s2.0-85154537813

Part of ISSN: 10898638 00222836
Contributors: Kalakoti, Y.; Peter, S.C.; Gawande, S.; Sundar, D.
Source: Self-asserted source
YOGESH KALAKOTI via Scopus - Elsevier

Deep Neural Network-Assisted Drug Recommendation Systems for Identifying Potential Drug-Target Interactions

ACS Omega
2022 | Journal article
DOI: 10.1021/acsomega.2c00424
EID:

2-s2.0-85127937964

Part of ISSN: 24701343
Contributors: Kalakoti, Y.; Yadav, S.; Sundar, D.
Source: Self-asserted source
YOGESH KALAKOTI via Scopus - Elsevier
grade
Preferred source (of 2)‎

TransDTI: Transformer-Based Language Models for Estimating DTIs and Building a Drug Recommendation Workflow

ACS Omega
2022 | Journal article
DOI: 10.1021/acsomega.1c05203
EID:

2-s2.0-85123926943

Part of ISSN: 24701343
Contributors: Kalakoti, Y.; Yadav, S.; Sundar, D.
Source: Self-asserted source
YOGESH KALAKOTI via Scopus - Elsevier
grade
Preferred source (of 2)‎

Genome Sequence of a Potent Biosurfactant-Producing Bacterium, Franconibacter sp. Strain IITDAS19

Microbiology Resource Announcements
2022-08-18 | Journal article
DOI: 10.1128/mra.00419-22
Contributors: Jyoti Sharma; Yogesh Kalakoti; Preeti Srivastava; Durai Sundar; Frank J. Stewart
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

SurvCNN: A Discrete Time-to-Event Cancer Survival Estimation Framework Using Image Representations of Omics Data

Cancers
2021-06-22 | Journal article
DOI: 10.3390/cancers13133106
Contributors: Yogesh Kalakoti; Shashank Yadav; Durai Sundar
Source: check_circle
Crossref
grade
Preferred source (of 3)‎

Deep learning assisted multi-omics integration for survival and drug-response prediction in breast cancer.

BMC genomics
2021-03-24 | Journal article
DOI: 10.1186/s12864-021-07524-2
PMID: 33761889
Source: Self-asserted source
YOGESH KALAKOTI
grade
Preferred source (of 2)‎

Multi-omics Integration based Predictive Model for Survival Prediction of Lung Adenocarcinaoma

2019 Grace Hopper Celebration India, GHCI 2019
2019 | Conference paper
DOI: 10.1109/GHCI47972.2019.9071831
EID:

2-s2.0-85084648401
Contributors: Malik, V.; Dutta, S.; Kalakoti, Y.; Sundar, D.
Source: Self-asserted source
YOGESH KALAKOTI via Scopus - Elsevier
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