K. Branson

发表

Discovery of inhibitors of lupin diadenosine 5',5'''-P(1),P(4)-tetraphosphate hydrolase by virtual screening.

Brian J. Smith, H. Mertens, J. Fletcher, 2009, Biochemistry.

The role of virtual screening in computer aided structure-based drug design

Kim Branson, Brian J. Smith, K. Branson, 2004 .

Deep reinforced active learning for multi-class image classification

K. Branson, E. Slade, 2022, ArXiv.

Gaussian-theory predictions of proton transfer to water of phenol and 3-chlorophenol: resolution of an apparent difficulty

Brian J. Smith, G. Schüürmann, K. Branson, 2001 .

The Virtual Laboratory: A Toolset for Utilising the World-Wide Grid to Design Drugs

David Abramson, Rajkumar Buyya, Jonathan Giddy, 2002, 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID'02).

Letter to the Editor: 1H, 13C, and 15N resonance assignments of the 17 kDa Ap4A hydrolase from Homo sapiens in the presence and absence of ATP

Brian J. Smith, A. McLennan, J. Fletcher, 2005, Journal of biomolecular NMR.

Identification and specificity studies of small-molecule ligands for SH3 protein domains.

Daniel Fritz, G. Booker, S. Pyke, 2004, Journal of medicinal chemistry.

Polymorphisms in the Il12b gene affect structure and expression of IL-12 in NOD and other autoimmune-prone mouse strains

L Adorini, G. Morahan, L. Adorini, 2002, Genes and Immunity.

mRNA codon optimization on quantum computers

R. Walker, K. Branson, Dillion M. Fox, 2021, bioRxiv.

Practical Aspects of the SAMPL Challenge: Providing an Extensive Experimental Data Set for the Modeling Community

Thomas S. Peat, Janet Newman, Kim Branson, 2009, Journal of biomolecular screening.

ALBRT: Cellular Composition Prediction in Routine Histology Images

Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas, Kim Branson, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

Epigenomic language models powered by Cerebras pdf

Kim M. Branson, Meredith V. Trotter, Cuong Q. Nguyen, 2021, ArXiv.

Meta-Learning Initializations for Low-Resource Drug Discovery pdf

Constantine Kreatsoulas, Cuong Q. Nguyen, Kim M. Branson, 2020, ArXiv.

Visual Parameteric Modeler for Rapid Composition of Parameter-Sweep Applications for Processing on Global Grids

Rajkumar Buyya, Stephen J. Melnikoff, Kim Branson, 2003, International Conference on Computational Science.

The Virtual Laboratory: a toolset to enable distributed molecular modelling for drug design on the World‐Wide Grid

David Abramson, Rajkumar Buyya, Jonathan Giddy, 2003, Concurr. Comput. Pract. Exp..

Bayesian analysis of isothermal titration calorimetry for binding thermodynamics

David D. L. Minh, Ariën S. Rustenburg, V. Pande, 2018, bioRxiv.

Alchemical free energy methods for drug discovery: progress and challenges.

David L Mobley, Kim Branson, Michael R Shirts, 2011, Current opinion in structural biology.

All You Need is Color: Image based Spatial Gene Expression Prediction using Neural Stain Learning pdf

Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas, Kim Branson, 2021, PKDD/ECML Workshops.

Blind prediction of HIV integrase binding from the SAMPL4 challenge

Shuai Liu, Arthur J. Olson, Alex L. Perryman, 2014, Journal of Computer-Aided Molecular Design.

Data-Driven Modelling of Gene Expression States in Breast Cancer and their Prediction from Routine Whole Slide Images

A. Ben-Hur, K. Branson, Muhammad Dawood, 2023, bioRxiv.

Cancer drug sensitivity prediction from routine histology images

K. Branson, Muhammad Dawood, F. Minhas, 2023, bioRxiv.

Design of β-amyloid aggregation inhibitors from a predicted structural motif.

V. Pande, I. Graef, A. Esteras-Chopo, 2012, Journal of medicinal chemistry.

Neural graphical modelling in continuous-time: consistency guarantees and algorithms

M. Schaar, K. Branson, A. Bellot, 2021, ICLR.

Consistency of mechanistic causal discovery in continuous-time using Neural ODEs

M. Schaar, K. Branson, A. Bellot, 2021, ArXiv.

Graphical modelling in continuous-time: consistency guarantees and algorithms using Neural ODEs

Mihaela van der Schaar, Kim Branson, Alexis Bellot, 2021 .

Meta-Learning GNN Initializations for Low-Resource Molecular Property Prediction

K. Branson, Constantine Kreatsoulas, Cuong Q. Nguyen, 2020 .

Generalising sequence models for epigenome predictions with tissue and assay embeddings

R. Schwessinger, K. Branson, J. Deasy, 2023, arXiv.org.

Molecule-Morphology Contrastive Pretraining for Transferable Molecular Representation

Dante A. Pertusi, K. Branson, Cuong Q. Nguyen, 2023, bioRxiv.