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README: tighten 2.6 teaser; bump tested Java to 26

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2026-05-20 18:06:00 +02:00
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@@ -20,7 +20,7 @@ It achieves high prediction success rates without relying on external software f
### ✨ What's new? ### ✨ What's new?
* Upcoming **2.6** brings pocket-grid & per-pocket descriptor exports (with PyMOL/ChimeraX viz), cofactor-as-surface handling, modified-residue → canonical-AA mapping, and additional supported methods for rescoring (see [alpha release](https://github.com/rdk/p2rank/releases/tag/2.6-alpha)). * Upcoming **2.6** brings pocket-grid & per-pocket descriptor exports, cofactor-as-surface handling, modified to canonical residue mapping, and additional supported methods for rescoring (see [alpha release](https://github.com/rdk/p2rank/releases/tag/2.6-alpha)).
* Version **2.5** brings speed optimizations (~2x faster prediction), ChimeraX visualizations, and improvements to rescoring (`fpocket-rescore` command). * Version **2.5** brings speed optimizations (~2x faster prediction), ChimeraX visualizations, and improvements to rescoring (`fpocket-rescore` command).
* Version **2.4.2** adds support for BinaryCIF (`.bcif`) input and rescoring of fpocket predictions in `.cif` format. * Version **2.4.2** adds support for BinaryCIF (`.bcif`) input and rescoring of fpocket predictions in `.cif` format.
* Version **2.4** adds support for mmCIF (`.cif`) input and contains a special profile for predictions on AlphaFold models and NMR/cryo-EM structures. * Version **2.4** adds support for mmCIF (`.cif`) input and contains a special profile for predictions on AlphaFold models and NMR/cryo-EM structures.
@@ -28,7 +28,7 @@ It achieves high prediction success rates without relying on external software f
### Requirements ### Requirements
* **Runtime**: Java 17 or later (tested up to Java 25) * **Runtime**: Java 17 or later (tested up to Java 26)
* **Visualization** (optional): PyMOL or ChimeraX * **Visualization** (optional): PyMOL or ChimeraX
Runs on Linux, macOS, and Windows. \ Runs on Linux, macOS, and Windows. \