Brian Kuhlman

Brian Kuhlman

University of North Carolina at Chapel Hill

H-index: 71

North America-United States

About Brian Kuhlman

Brian Kuhlman, With an exceptional h-index of 71 and a recent h-index of 43 (since 2020), a distinguished researcher at University of North Carolina at Chapel Hill, specializes in the field of Protein Structure, Protein Design, Optogenetics.

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

High-resolution epitope mapping of commercial antibodies to ANCA antigens by yeast surface display

Methods for Producing Fabs and IgG Bispecific Antibodies

Transfer learning to leverage larger datasets for improved prediction of protein stability changes

Structure-guided vaccine design to focus antibody responses to neutralizing epitopes on dengue virus envelope protein

Invariant point message passing for protein side chain packing

Designer installation of a substrate recruitment domain to tailor enzyme specificity

In silico evolution of autoinhibitory domains for a PD-L1 antagonist using deep learning models

Design of a protease‐activated PD‐L1 inhibitor

Brian Kuhlman Information

University

University of North Carolina at Chapel Hill

Position

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Citations(all)

22811

Citations(since 2020)

10026

Cited By

16874

hIndex(all)

71

hIndex(since 2020)

43

i10Index(all)

143

i10Index(since 2020)

115

Email

University Profile Page

University of North Carolina at Chapel Hill

Brian Kuhlman Skills & Research Interests

Protein Structure

Protein Design

Optogenetics

Top articles of Brian Kuhlman

Title

Journal

Author(s)

Publication Date

High-resolution epitope mapping of commercial antibodies to ANCA antigens by yeast surface display

Journal of Immunological Methods

John S Poulton

Sajan Lamba

Meghan Free

Gang Xi

Elizabeth McInnis

...

2024/3/1

Methods for Producing Fabs and IgG Bispecific Antibodies

2024/2/8

Transfer learning to leverage larger datasets for improved prediction of protein stability changes

Proceedings of the National Academy of Sciences

Henry Dieckhaus

Michael Brocidiacono

Nicholas Z Randolph

Brian Kuhlman

2024/2/6

Structure-guided vaccine design to focus antibody responses to neutralizing epitopes on dengue virus envelope protein

The Journal of Immunology

Devina J Thiono

Demetrios Samaras

Thanh TN Phan

Shaomin Tian

Lawrence J Forsberg

...

2023/5/1

Invariant point message passing for protein side chain packing

bioRxiv

Nicholas Z Randolph

Brian Kuhlman

2023/12/21

Designer installation of a substrate recruitment domain to tailor enzyme specificity

Nature chemical biology

Rodney Park

Chayanid Ongpipattanakul

Satish K Nair

Albert A Bowers

Brian Kuhlman

2023/4

In silico evolution of autoinhibitory domains for a PD-L1 antagonist using deep learning models

Proceedings of the National Academy of Sciences

Odessa J Goudy

Amrita Nallathambi

Tomoaki Kinjo

Nicholas Z Randolph

Brian Kuhlman

2023/12/5

Design of a protease‐activated PD‐L1 inhibitor

Protein Science

Odessa J Goudy

Alice Peng

Ashutosh Tripathy

Brian Kuhlman

2023/3

Correction to “Catalysis by a De Novo Zinc-Mediated Protein Interface: Implications for Natural Enzyme Evolution and Rational Enzyme Engineering”

Biochemistry

Bryan S Der

David R Edwards

Brian Kuhlman

2023/9/18

Inside-out design of zinc-binding proteins with non-native backbones

Biochemistry

Sharon L Guffy

Surya VSRK Pulavarti

Joseph Harrison

Drew Fleming

Thomas Szyperski

...

2023/1/12

De novo design of stable proteins that efficaciously inhibit oncogenic G proteins

Protein Science

Matthew C Cummins

Ashutosh Tripathy

John Sondek

Brian Kuhlman

2023/8

Full wwPDB X-ray Structure Validation Report i

Y Kim

KH Kim

2023

In silico evolution of protein binders with deep learning models for structure prediction and sequence design

bioRxiv

Odessa J Goudy

Amrita Nallathambi

Tomoaki Kinjo

Nicholas Randolph

Brian Kuhlman

2023/5/3

Erratum: The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design (Journal of Chemical Theory and Computation (2017) 13: 6 (3031-3048

Journal of chemical theory and computation

Rebecca F Alford

Andrew Leaver-Fay

Jeliazko R Jeliazkov

Matthew J O’Meara

Frank P DiMaio

...

2022/6/6

Stabilizing proteins, simplified: A Rosetta‐based webtool for predicting favorable mutations

Protein Science

David F Thieker

Jack B Maguire

Stephan T Kudlacek

Andrew Leaver‐Fay

Sergey Lyskov

...

2022/10

AlphaFold accurately predicts distinct conformations based on the oligomeric state of a de novo designed protein

Protein Science

Matthew C Cummins

Tim M Jacobs

Frank D Teets

Frank DiMaio

Ashutosh Tripathy

...

2022/7

Correction to “the rosetta all-atom energy function for macromolecular modeling and design”

Journal of chemical theory and computation

Rebecca F Alford

Andrew Leaver-Fay

Jeliazko R Jeliazkov

Matthew J O’Meara

Frank P DiMaio

...

2022/6/6

Proteins comprising t-cell receptor constant domains

2022/9/29

Design and engineering of light-sensitive protein switches

Amelia C McCue

Brian Kuhlman

2022/6/1

Methods and compositions for stabilized recombinant flavivirus e protein dimers

2022/9/15

See List of Professors in Brian Kuhlman University(University of North Carolina at Chapel Hill)

Brian Kuhlman FAQs

What is Brian Kuhlman's h-index at University of North Carolina at Chapel Hill?

The h-index of Brian Kuhlman has been 43 since 2020 and 71 in total.

What are Brian Kuhlman's top articles?

The articles with the titles of

High-resolution epitope mapping of commercial antibodies to ANCA antigens by yeast surface display

Methods for Producing Fabs and IgG Bispecific Antibodies

Transfer learning to leverage larger datasets for improved prediction of protein stability changes

Structure-guided vaccine design to focus antibody responses to neutralizing epitopes on dengue virus envelope protein

Invariant point message passing for protein side chain packing

Designer installation of a substrate recruitment domain to tailor enzyme specificity

In silico evolution of autoinhibitory domains for a PD-L1 antagonist using deep learning models

Design of a protease‐activated PD‐L1 inhibitor

...

are the top articles of Brian Kuhlman at University of North Carolina at Chapel Hill.

What are Brian Kuhlman's research interests?

The research interests of Brian Kuhlman are: Protein Structure, Protein Design, Optogenetics

What is Brian Kuhlman's total number of citations?

Brian Kuhlman has 22,811 citations in total.