Rayees Rahman

About Rayees Rahman

Rayees Rahman, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Icahn School of Medicine at Mount Sinai, specializes in the field of Machine Learning, Bioinformatics, Cheminformatics, Structural Biology.

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

Leveraging multiple data types for improved compound-kinase bioactivity prediction

AI for targeted polypharmacology: The next frontier in drug discovery

Preference Optimization for Molecular Language Models

Investigating the conformational landscape of AlphaFold2-predicted protein kinase structures

Maternal health around pregnancy and autism risk: a diagnosis-wide, population-based study

Structural signatures: a web server for exploring a database of and generating protein structural features from human cell lines and tissues

Protein structure–based gene expression signatures

Transcriptomic profiling of human cardiac cells predicts protein kinase inhibitor-associated cardiotoxicity

Rayees Rahman Information

University

Position

PhD Candidate

Citations(all)

375

Citations(since 2020)

354

Cited By

160

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Rayees Rahman Skills & Research Interests

Machine Learning

Bioinformatics

Cheminformatics

Structural Biology

Top articles of Rayees Rahman

Leveraging multiple data types for improved compound-kinase bioactivity prediction

bioRxiv

2024/3/10

Ryan Theisen
Ryan Theisen

H-Index: 2

Rayees Rahman
Rayees Rahman

H-Index: 6

AI for targeted polypharmacology: The next frontier in drug discovery

2024/2/1

Rayees Rahman
Rayees Rahman

H-Index: 6

Preference Optimization for Molecular Language Models

arXiv preprint arXiv:2310.12304

2023/10/18

Investigating the conformational landscape of AlphaFold2-predicted protein kinase structures

Bioinformatics Advances

2023/1/1

Maternal health around pregnancy and autism risk: a diagnosis-wide, population-based study

Psychological medicine

2022/12

Structural signatures: a web server for exploring a database of and generating protein structural features from human cell lines and tissues

Database

2022/1/1

Protein structure–based gene expression signatures

Proceedings of the National Academy of Sciences

2021/5/11

Transcriptomic profiling of human cardiac cells predicts protein kinase inhibitor-associated cardiotoxicity

Nature Communications

2020/9/23

Integrating Structure and Machine Learning to Characterize Drug Action

2020

Rayees Rahman
Rayees Rahman

H-Index: 6

Identification of newborns at risk for autism using electronic medical records and machine learning

European Psychiatry

2020/1

See List of Professors in Rayees Rahman University(Icahn School of Medicine at Mount Sinai)

Co-Authors

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